AI Software Engineer Jobs

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.  Certifications: Bar admission in any jurisdiction strongly preferred. Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.  Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$100/hr, depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: PhD, Master, BBA in Finance, Economics, or related degrees. Certifications: CFA or CPA strongly preferred. Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.  Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$120/hr., depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are hiring Software Engineers at the mid-career, senior, and staff levels to join a number of open roles on our Agent team, focused on building the future of Agentic Video Editing! About the team: Descript's Agent launched in Open Beta in July 2025. Since then, we've been working on improving the user experience for chat-based editing, adding more capabilities into our agent, and improving our agent infrastructure to continue to scale as models get better and better. The Agent team is a mix of AI Researchers and Software Engineers committed to our mission to make video editing accessible to anyone. Your peers will be based in San Francisco, New York, and distributed across the US and Canada. This is the role for you if any of the following areas sound exciting: Experimentation to push the limits on quality for our video editing agent (eg. harness and tool design, token/context optimizations, RL/new model development, multimodal, etc) Building a best-in-class product experience for agentic video editing interactions and improving user retention (eg. tuning prompt templates and other key user workflows, addressing user feedback, building key product capabilities like chat history, etc) Laying the foundations for a best-in-class developer experience for building agents (eg. logging, evals framework, online monitoring and feedback loops, etc) What you bring: Minimum Qualifications 3+ years of professional product engineering or fullstack experience Worked with Typescript, React, and RESTful APIs (or similar) Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) High ownership and growth mindset You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, AI research) Extra credit! Experience building creative tools in the past or you're a frequent user of creative media tools. If you join Descript, you'll end up making lots of videos! Experience building agents, working evals infrastructure, or designing product experiences powered by LLMs Studies show that women and people of color are less likely to apply to jobs unless they meet every single qualification. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification above, please apply anyways. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for these roles is $174,000-$286,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.About the roleAs Head of Engineering at Siena you'll set technical vision for the first intelligence layer in customer experience—AI pipelines, evals, integrations, multi-agent orchestration. Your job: decide where we build, what we buy, how we scale.You're shaping Siena's technical strategy, influencing product direction, building the culture. You operate as peer to product, design, and revenue leadership. And you still prototype with Cursor and Claude Code on weekends because that's who you are.We're looking for someone who's scaled teams to 30+, stayed deeply technical with AI tools, and thinks in systems while moving at startup speed. You bring infectious energy, high agency, and the rare ability to zoom from board strategy to debugging production in the same conversation.What you'll doSet technical roadmap aligned to business goals—make build vs buy decisions at company levelDouble our engineering team over 12-18 months—design team structures, develop leaders, coach and be an example for what's possible with agentic codingStay hands-on with AI tools—write prototypes, review critical PRs, ship experiments, maintain technical credibilityOperate cross-functionally—partner with product/design/revenue as peer, shape company strategyDrive velocity at scale—ship weekly, cut scope based on learning, rally teams through ambiguityBuild culture that attracts top talent—create momentum through energy, establish practices that scaleWhat we're looking forYou've scaled teams to 30+ successfullyYou still code building using AI tools like Cursor, Claude Code, Codex, Lovable, v0You have technical depth with AI-native fluencyYou're comfortable with customers—join enterprise calls, understand their technical pain, earn trust at exec levelYou have high agency—take bets, shape direction proactivelyYou've led teams that shipped regularly at scaleYou've made technical decisions that shaped company directionYou've developed multiple leaders from ICsYou've maintained velocity during high growthYou've built with relevant technology: conversational AI, event-driven systems, LLM applications, CX platforms, e-commerce, API integrationsYou zoom from strategy to debugging fluidlyYou bring infectious energy, positive culture builder mindsetYou have startup DNA—comfortable with ambiguity, move fastThis isn't a "Head of Engineering who used to be technical" role. This is for the technical leader who shapes engineering culture, sets technical strategy, operates as peer to VP-level leaders, and still codes using AI tools today.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Software Engineer to help build and scale the data systems that power our machine learning products. This role sits at the intersection of data engineering and ML infrastructure: you’ll design large-scale streaming pipelines, build tools that abstract infrastructure complexity for feature developers, and ensure that our feature data is reliable, discoverable, and performant across online and offline environments. If you’re passionate about building foundational systems that enable machine learning at scale — and love solving complex distributed data problems — this is the role for you.What You’ll DoDesign and scale feature pipelines: Build distributed data processing systems for feature extraction, orchestration, and serving — including real-time streaming, batch ingestion, and CDC workflows.Feature Extraction: Design and implement reliable, reusable feature pipelines for ML models, ensuring features are accurate, scalable, and production-ready through well-designed SDKs and orchestration tools.Build and evolve storage infrastructure: Manage multi-tier data systems (e.g. Bigtable for online features/state, BigQuery for analytics and offline training), including schema evolution, versioning, and compatibility.Own orchestration and reliability: Lead workflow orchestration design (e.g. Pub/Sub, Busboy, Airflow/Temporal), monitoring, and alerting to ensure reliability at 100M+ video scale.Collaborate with ML teams: Partner with ML engineers on feature availability, dataset curation, and streaming pipelines for training and inference.Optimize for performance and cost: Tune GPU utilization, resource allocation, and data processing efficiency to maximize system throughput and minimize cost.Enable analytics and insights: Support downstream analytics and data science workflows by ensuring data accessibility, discoverability, and performance at scale.Preferred Qualifications4+ years building distributed data systems, feature platforms, or ML infrastructure at scale.Strong experience with streaming and batch pipelines (e.g. Pub/Sub, Kafka, Dataflow, Beam, Flink, Spark).Deep knowledge of cloud-native data stores (e.g. Bigtable, BigQuery, DynamoDB, Snowflake) and schema/versioning best practices. Proficiency in Python and experience building developer-facing libraries or SDKs.Experience with Kubernetes, containerized data infrastructure, and workflow orchestration tools (e.g. Airflow, Temporal).Familiarity with ML workflows and feature store design — enough to partner closely with ML teams.Bonus: Experience working with video, audio, or other unstructured media data in a production environment.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is experiencing extraordinary demand and seeking a Mid-Market Account Executive with strong communication skills to drive our hyper-growth. Candidates with Mid-Market SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies.We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.In this role you will…Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC eraServe as the primary point of contact for prospects and customers, guiding them through the buying journeyConduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathonsArticulate Replit's value proposition and align it with customers' business objectivesCollaborate with product and engineering teams to ensure technical accuracy and successful deliveryPrepare tailored quotes and skillfully negotiate dealsMaintain accurate customer and forecasting data in Replit’s CRM (Hubspot)Foster strong relationships with existing clients while identifying opportunities for expanded adoptionOptimize customers' use of the Replit platform through ongoing collaboration and supportGather and communicate valuable customer feedback, championing their interests within Replit Required skills and experience:Experience in AE or SE/technical sales role, preferably in SaaS or developer toolsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesProven track record of meeting or exceeding sales quotasExperience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customersProficiency in using CRM systems and sales tools (e.g., Hubspot)Ability to quickly learn and articulate the value of new technologiesStrong problem-solving skills and the ability to think on your feetSelf-motivated with excellent time management and organizational skillsPassion for technology and staying current with industry trendsExperience with or strong interest in AI and machine learning is a plusWillingness to travel up to 25% of the time for client meetings and eventsNice to have:You're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedIn Sales NavigatorHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area and/or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where 80% of your day is talking to others Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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About the TeamWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. The Codex Enterprise sub-team’s mission is to bring the world’s most powerful software engineer to the world’s largest companies safely, securely, and at scale.About the RoleThis role is for a software engineer working on Codex, with a specific focus on making it work well for our largest customers. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse enterprise requirements into products that scale across organizations. The role bridges what enterprises need and what the broader Codex team builds, ensuring that enterprise capabilities are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.In this role, you will:Ship enterprise-grade capabilities for Codex, including analytics and usage reporting, audit and compliance logging, sandbox and permissioning, admin roles and policy controls, regional execution and data residency, and on-prem orchestration.Design and build robust, full-stack services and APIs that power Codex across all surfaces including web, CLI, IDEs, Slack, and CI/CD, with strong observability and SLOs.Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.Work closely with GTM teams and directly with enterprises to understand real-world developer workflows.Collaborate cross-functionally with product, research, design, and customer teams to deliver quickly while maintaining a high bar for quality and user experience.You might thrive in this role if you:Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.Have built developer tools (CLI/IDE/SDK) or agent/sandboxed execution environments, especially in, or for, large enterprises. Experience delivering software on-prem would be a bonus..Have hands-on experience with enterprise and large-platform foundations such as identity (SAML/OIDC), SCIM, RBAC, audit logging, and data retention controls.Have experience working directly with customers as a customer engineer, solutions engineer or forward-deployed engineer.Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the RoleWe’re looking for a Senior Privacy Engineer to lead initiatives that ensure our products and infrastructure meet the highest standards of data protection and user privacy. You’ll work closely with cross-functional teams—including security, legal, product, infrastructure, and research—to design and implement privacy-enhancing technologies and compliance mechanisms at scale.This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.This role is based in Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Architect and implement privacy-preserving systems across our data stack, including data collection, storage, processing, and access layers.Develop and apply privacy engineering frameworks (e.g., data minimization, differential privacy, anonymization/pseudonymization techniques) to production services.Build and scale privacy controls such as role-based access, audit logging, redaction/tokenization systems, data retention policies, and privacy incident detection.Partner with infrastructure and product teams to integrate privacy requirements into system designs from the ground up.Collaborate with legal, security, and compliance teams to translate regulatory obligations (e.g., GDPR, CCPA, HIPAA) into concrete technical controls and workflows.Conduct privacy risk assessments and help teams mitigate identified risks through design changes, automation, or monitoring.Mentor and support other engineers, elevating privacy as a core engineering discipline across the organization.Drive cross-org initiatives, such as privacy reviews, developer education, or privacy tooling roadmaps.You might thrive in this role if you:5+ years of industry experience in software engineering, security engineering, or privacy engineering, with significant ownership of privacy or data protection features.Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).Deep understanding of privacy technologies and principles, such as data anonymization, encryption, secure computation, privacy threat modeling, or differential privacy.Experience building scalable infrastructure and implementing controls in distributed systems, data platforms, or ML pipelines.Familiarity with global privacy regulations and their technical implications.Ability to influence and collaborate with teams across legal, compliance, product, and engineering.A bias toward practical, impactful solutions that balance privacy protections with product needs.Nice to HaveExperience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.Background in security engineering, trust & safety, or data governance.Contributions to privacy open-source projects or research.Prior experience in a regulated or highly sensitive data environment.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamJoin the engineering teams that bring OpenAI’s ideas safely to the world!The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector.You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact.From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most.This role is based in Washington D.C. and San Francisco, CA. Occasional travel to customer sites is required for this role.In this role, you will:Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers.Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments.Talk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers.Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYou might thrive in this role if you:US Citizen5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with underlying infrastructure primitives like Kubernetes and TerraformInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAn interest in enabling public sector use cases with unique requirementsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About MistralAt Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do*Research and develop novel AI methods for general-purpose mobile manipulation robots*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms About you*You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models*You are a highly proficient software engineer in at least one programming language (preferably Python)*You have hands-on experience with AI frameworks (preferably PyTorch)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player Now, it would be ideal if*You have experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment*You have a strong publication record in a relevant scientific domain Benefits in France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship

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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Machine Learning Systems Engineer  Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self-improving agents—all via an OpenAI-compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron-LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 – October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC-0 Licensed) focused on democratizing access to cutting-edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self-improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role: As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large-scale language model applications on top of it. You’ll operate at the intersection of high-performance computing, distributed systems, and cutting-edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will:  Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high-performance inference engines and optimization techniques. Work on integration between vLLM, Megatron-LM, and HuggingFace ecosystems. Build tools for seamless model training, fine-tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self-improving AI agents. Who You Are Technical Skills: Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi-GPU and multi-node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development  Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron-LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem.  Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi-head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.Head of DataWe’re looking for n8n’s first Head of Data, a strategic builder who’s excited to design our data strategy, stack, and culture from the ground up. You’ll turn data into one of n8n’s biggest growth levers, helping every team make faster, smarter, and more confident decisions as we scale.🎯 Your main goal will be to build and lead n8n’s first dedicated data function, defining the strategy, stack, and culture that turn data into a core driver of growth and decision-making across the company.To do so, you’ll establish the foundations of our data organization, build scalable infrastructure, and empower every team to make faster, smarter, and more informed decisions.STRATEGY & VISIONDefine and articulate the company-wide data strategy, ensuring alignment with business priorities and anticipating future needs, especially in AI.Build a long-term roadmap for the data organization, from initial foundations to advanced analytics, data science, and AI use cases.Explore and adopt new technologies and methodologies that keep n8n at the forefront of data innovation.DATA INFRASTRUCTURE & ANALYTICSBuild and scale a reliable, secure, and modern data infrastructure that supports both BI and self-service analytics.Design and implement core data models, metrics, and dashboards to power decision-making across Product, Revenue, and Operations.Capture and transform raw data into clear, actionable insights that guide strategic choices and uncover growth opportunities.Ensure strong governance, data quality, and compliance with privacy and security standards.LEADERSHIP & COLLABORATIONLead, mentor, and grow a small team of Analysts/Analytics Engineers, with future expansion into Data Engineering and Data Science.Foster a culture of curiosity, learning, and experimentation within the data function and across the company.Partner closely with Product, Engineering, Sales, Marketing, Finance, and Leadership to embed data into every decision.REQUIREMENTSMust-haves💼 Data leadership experience: 8+ years in data, including building and leading data teams (both analysts and engineers) from the ground up.📊 Technical excellence: Proven experience designing and scaling modern data architectures (BigQuery, Snowflake, dbt, etc.), with strong modeling and performance optimization skills.🧠 Analytical mastery: Deep expertise working with large-scale user-level data (ideally in B2C/ B2B SaaS and PLG context) and strong understanding of marketing analytics and growth loops.🗣 Communication & influence: You can translate complex analytical concepts into clear business insights and influence cross-functional stakeholders.🚀 Strategic operator mindset: A player-coach who thrives on both building vision and executing hands-on in fast-paced environments.💡 Continuous learner: Up to date on the latest technological trends and experienced (or eager) in applying AI within data teams.🧰 Tools: Proficient in n8n’s data stack, including BigQuery, dbt, and BI tools such as Looker or Metabase.Nice-to-haves🤖 AI/ML experience: Exposure to building or leveraging AI/ML models in a data context.🛡 Data governance expertise: Familiarity with privacy, compliance, and regulatory frameworks.Why join us?At n8n, your work won’t disappear into a slide deck. You'll have the rare opportunity to build our data foundations from the ground up, shape how we make decisions, and directly influence how one of Europe’s fastest-growing SaaS companies scales.You’ll join a remote-first, high-performing team that values autonomy, experimentation, and continuous learning. You’ll have access to rich datasets, strong technical peers, and high internal demand for data-driven insights — all in an environment that’s curious, ambitious, and collaborative.Sound like a challenge you’re excited to take on?Apply now and help us build the future of automation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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ScaleSoftware Engineer - Robotics & Autonomous SystemsScale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.You Will:Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasetsBuild ML training and fine-tuning pipelines using Scale's robotics dataWork across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutionsDevelop tools and systems for robotics data collection, teleoperation, and model evaluationInteract directly with robotics and AV stakeholders to understand their technical needs and drive product developmentBuild real-time systems for robotic control, sensor fusion, and perception pipelinesDesign comprehensive monitoring and evaluation frameworks for robotics models and data qualityCollaborate with ML engineers and researchers to bring robotics research into productionDeliver features at high velocity while maintaining system reliability and performanceIdeally, You Have:3+ years of software engineering experience in robotics, autonomous vehicles, or related fieldsStrong programming skills in Python and TypeScript/Node.js for production systemsExperience with React and modern frontend development for 3D interfacesPractical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systemsUnderstanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)Experience with databases (MongoDB, PostgreSQL) and data processing at scaleTrack record of working with cross-functional teams including ML engineers, researchers, and customersStrong communication skills and ability to operate with high autonomyNice to Haves:Experience with C++Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronizationBackground in computer vision, SLAM, motion planning, or imitation learningFamiliarity with autonomous vehicle data, lidar technologies, or 3D data processingExperience with ML model deployment and serving frameworksKnowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfacesExperience with workflow orchestration systems (Temporal, Airflow)Published research or open-source contributions in robotics or autonomous systems

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re building the home of the AI workforce, a new generation of automation built for real work. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and cross-team collaboration, all within one unified platform. Today, our technology powers leading companies including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by world-class investors: Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and we raised our Series B in April 2025 to accelerate our mission and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, and soon opening our new office in Barcelona, we operate on a hybrid model (three in-office days per week). We’re a high-momentum team that thrives on curiosity, collaboration, and execution. We move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you’re excited to define how the world works with AI and want to build the technology powering the next generation of intelligent workforces, join us.The Role 🥳We’re hiring for a new type of engineer at Relevance AI. We’re looking for UX/ UI specialists and builders who care deeply about building intuitive, user-friendly, and highly polished experiences. You’ll lead initiatives across the design lifecycle to conduct user research, rapidly prototype as well as implement elegant UI in code to accelerate delivery - owning components and interactions in production. If you identify more as a product designer who codes or a front-end engineer with strong UX/ UI design instincts, you’ll thrive in this role.Think: mapping an agent-building flow in the morning, prototyping in Figma at lunch, and pushing a polished front-end experience to production by afternoon - instrumented, accessible, and measurable. You’ll get to craft beautiful experiences across our agent building and orchestration platform, making powerful AI feel intuitive, transparent, and trustworthy.Your impact💥Collaborate closely with Product, Design, and Engineering to implement highly responsive, visually appealing and functional user interfaces while maintaining design fidelity.Build reusable front-end components and maintain our design systems, UI libraries, and front-end components to ensure consistency and scalability.Conduct user experience testing and iterate designs based on user feedback and analytics.Review designs for technical feasibility and propose solutions that balance UX and engineering constraints.Champion a high bar for UI/UX and mentor others on best practices, latest trends and coding standards.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, Typescript, PythonDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠Strong front-end development and UX/UI background with experience building for complex platforms (e.g., no-code tools, automation software, or enterprise SaaS).Proficiency in HTML5, CSS3, and JavaScript, with hands-on experience across a range of front-end tooling (e.g., npm, Webpack, Tailwind, Redux, Jest) and familiarity with modern frameworks such as React, Angular, or Vue.Experience creating and maintaining design systems, reusable components, and UI libraries.A proven track record of tackling challenging product designs and taking ownership of initiatives from user research to concept/ mock-up through to production.Strong visual design sense and a passion for building highly responsive, performant user interfaces.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – 12 weeks of paid parental leave for all eligible new parents, plus an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍽️ Team Meals & Snacks – Enjoy free breakfasts, healthy snacks, and a variety of team lunches throughout the week (including Thursday and Friday lunches, plus Uber Eats dinners and regular catered office meals)🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re building the home of the AI workforce, a new generation of automation built for real work. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and cross-team collaboration, all within one unified platform. Today, our technology powers leading companies including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by world-class investors: Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and we raised our Series B in April 2025 to accelerate our mission and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, and soon opening our new office in Barcelona, we operate on a hybrid model (three in-office days per week). We’re a high-momentum team that thrives on curiosity, collaboration, and execution. We move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you’re excited to define how the world works with AI and want to build the technology powering the next generation of intelligent workforces, join us.The Role 🥳We’re hiring for a new type of engineer at Relevance AI. We’re looking for product-minded builders who love to own a customer problem end-to-end; discovering needs, shaping the solution, and shipping working software. If you identify more as a product manager who codes or an engineer with strong product instincts - you’ll thrive in this role. Expect to prototype quickly, write production-grade code, define success metrics, and iterate fast with real users.You’ll sit at the intersection between Product and Engineering, working cross-functionally and spending meaningful time with customers to turn ideas into delightful, high-performing features that would unlock real customer value. Expect your days to be varied, solving novel problems. You’ll switch fluidly between user interviews, product specs, and writing code.Your impact💥Lead zero-to-one development of new features and product improvements from problem discovery to launch and iteration.Build functional prototypes and ship production-grade features, integrating LLMs, APIs, tools, and data sources.Translate customer insights into crisp product requirements, specs, and success metrics.Design and run experiments (A/B, feature flags) to validate hypotheses and drive measurable outcomes.Partner with internal teams and customers to co-create solutions; turn high-signal feedback into roadmap priorities.Contribute to internal tools, documentation, and playbooks that accelerate how we ship.Champion a high bar for UX, performance, and developer ergonomics across the platform.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, Typescript, PythonDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠Experience across the product and software development lifecycle, with either a background in product management, software engineering or mixture of related roles.Regularly leverage AI coding tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Comfort operating across the stack of product work: user research and customer discovery, specs, product tradeoffs, technical constraints, launch, and post-launch optimization.Comfort with modern programming languages and frameworks (Typescript + Node.js preferred), or a proven ability to quickly master new technologies.A track record of owning outcomes, not just tickets - shipping features that moved metrics.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Deep interest in AI and excitement to build innovative, category-defining products.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – 12 weeks of paid parental leave for all eligible new parents, plus an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍽️ Team Meals & Snacks – Enjoy free breakfasts, healthy snacks, and a variety of team lunches throughout the week (including Thursday and Friday lunches, plus Uber Eats dinners and regular catered office meals)🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.About the RoleTo fulfill our mission of building the GitHub of Machine Learning, our team is now looking for a Node.Js Backend Engineer, with experience working in a fast-paced environment. In this unique role, you will directly impact the evolutions of our Machine Learning Hub, which is rapidly becoming a go-to destination for companies and individuals to host and run their ML models.You'll work with a supportive team of talented engineers while enjoying a lot of autonomy to test your implementations. This is a great opportunity to be an early contributor to the biggest platform shift of the decade. About YouYou'll enjoy working here if your favorite tech stack is Typescript, Node.js, and MongoDB, and you love to stay up to date with the latest technologies. You have a good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust. You have experience working collaboratively across the stack on Online payment systems. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.About the RoleTo fulfill our mission of building the GitHub of Machine Learning, our team is now looking for a Node.Js Backend Engineer, with experience working in a fast-paced environment. In this unique role, you will directly impact the evolutions of our Machine Learning Hub, which is rapidly becoming a go-to destination for companies and individuals to host and run their ML models.You'll work with a supportive team of talented engineers while enjoying a lot of autonomy to test your implementations. This is a great opportunity to be an early contributor to the biggest platform shift of the decade. About YouYou'll enjoy working here if your favorite tech stack is Typescript, Node.js, and MongoDB, and you love to stay up to date with the latest technologies. You have a good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust. You have experience working collaboratively across the stack on Online payment systems. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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Robyn is not just an AI app — she’s your emotionally intelligent companion. A trusted mirror. A guide. A new kind of OS for your emotional life.We're building the world’s first emotional intelligence layer for AI.You’ll be building the backend infrastructure that powers all of it:Conversations, memory, and real-time personalizationVoice + chat interfaceScalable infra for emotional intelligenceSecure and fast APIs for our iOS appA robust ML inference and fine-tuning pipelineYou’ll be the technical backbone of Robyn — designing and shipping fast, scalable, emotionally aware systems while collaborating closely with iOS, product, and AI teams.This is a rare opportunity to define the foundations of emotionally intelligent AI. Everything beyond the core LLM — memory, emotional layer, and relational engine — is built fully in-house. The backend engineer will help architect the systems that make Robyn feel human: writing the foundational codebase for the next wave of AI — one that feels, remembers, and connects.What You'll DoBackend & Infra OwnershipYou'll work and add to our C# / .NET / ASP.NET backend api layer (have experience in this or something similar like Java/Spring and can learn quickly) and progressively add many Python microservices (FastAPI or AWS Lambda) with modular, AI-native architecture in mind to build our intelligence layer. Deploy models and setup some ml training pipelines.Understand dependency injection, Strategy Pattern, inversion of control, and other best practices for code maintainabilityOwn the full backend surface area — auth, APIs, infra, orchestration — and design all of your features for scale and velocity.Build and maintain REST and GraphQL APIs consumed by our iOS client; low-latency, resilient, and well-instrumented.Architect a microservice-style ML model serving backend deployed via Docker containers or AWS Lambda (SnapStart), backed by async eventing and pub/sub where needed.Own CI/CD, rollback strategies, logging, error handling — the backend is your domain, end-to-end.AI & ML Systems IntegrationArchitect and manage existing vector DB (PgVector) and potentially add more to power retrieval-augmented generation, evolving memory, and personalization.Build tools and add to our custom memory pipelines tied to user context, embeddings, and interaction history.Integrate and scale inference with OpenAI, Claude, Llama, or other models. Build wrappers, manage caching, fallbacks, and prompt routing logic.Own emotion and sentiment tagging workflows; plug in APIs or run lightweight classifiers in-line.Maintain API orchestration layer with 3rd party model providers (OpenAI, ElevenLabs, etc.).Cloud Infra, DevOps, and Data StackManage our AWS infrastructure and add to our current stack with new innovate technologies: Lambda, ECS, S3, RDS (Postgres), CloudFront, IAM, Route53 — you’ll be the one making the call on architecture and trade-offs.Be able to use search databases like OpenSearchInfra-as-code with Terraform. Pipelines through GitHub Actions.Full observability: metrics, structured logging, tracing, alerting — Open Telemetry, Sentry, Grafana, Cloudwatch, etc.Optimize latency across API surface, tune Postgres indexes, add Redis caching layers to many of your services and pub/sub or streaming for near-instantaneous data sync.Set up and secure infra for SOC-2 readiness: access controls, data lifecycle policies, encrypted storage.Personalization & Emotional Intelligence LayerDesign and ship emotion-aware backend systems that update in real time based on user behavior.Implement custom memory engines — user embeddings, experience graphs, emotional scores — and build APIs that adapt over time.Work with product and AI to tune behavior of Robyn based on user feedback, emotion logs, memory history, and interaction loops.All personalization logicYou’re Probably Right for This If:You have 6 - 15 years of experience in backend or full-stack development; building 0-1 products or teams in a startup environmentYou’ve shipped entire production backends at high-growth early-stage startups — you know how to move fast and still write code you don’t hate six months later.You’ve integrated or scaled LLM-based products — bonus if you’ve done it with emotion, memory, or personalization layers.You care about systems thinking, fast response times, clean abstractions, and building infra that won’t fall over under load.You’ve done the zero-to-one and can hold both the product in your head and the infra in your hands.You’re able to figure things out quickly and dive in wherever needed. There’s no “that’s not my job” here.You're allergic to bloated teams — you’d rather build it right yourself than manage a swarm of mid devs doing it wrong.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us?We're looking for a Staff Machine Learning Research Scientist to help define and drive Rad AI's next generation of applied research in NLP and clinical AI.The ideal candidate brings deep experience in cutting-edge ML techniques (Transformers, LLMs, Agentic systems) and their application to the healthcare domain. You should be comfortable with medical literature, clinical terminology, and the nuanced decision-making criteria doctors use every day.You'll collaborate closely with clinicians, engineers, and product leaders to translate foundational research into production-scale systems that improve outcomes for doctors and patients alike.What You'll Do:Lead high-impact ML research projects from concept to deployment, focused on clinical NLP and reasoning systems.Define the technical direction of research initiatives within your product area; identifying opportunities to apply state-of-the-art models to real-world radiology workflows.Collaborate deeply with radiologists and clinical experts to understand diagnostic reasoning patterns, report structures, and clinical decision-making criteria—then encode that understanding into robust ML systems.Architect and evaluate models that integrate structured and unstructured medical data (clinical notes, diagnostic criteria, patient context) to enhance diagnostic reasoning and reporting accuracy.Build NLP systems that can parse, reason over, and generate clinically accurate content using medical terminology and ontologies.Mentor and guide other researchers in experimental design, model reproducibility, and technical communication.Advance research infrastructure by contributing to data pipelines, training frameworks, and model evaluation tooling.What We're Looking For:MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field.6+ years of applied ML research experience (industry or academia).Proven experience building NLP or ML systems for healthcare, clinical documentation, or biomedical applications— You should have shipped models that work with clinical text, radiology reports, EHRs, medical literature, or similar medical data.Demonstrated fluency with medical terminology and clinical reasoning—you should be able to read and understand radiology reports, parse diagnostic criteria, and grasp how radiologists formulate clinical decisions.Track record of successful collaboration with clinicians—you've worked directly with physicians, radiologists, or clinical researchers to understand requirements, validate models, and iterate based on medical domain expertise.Deep expertise in NLP and modern deep learning architectures—particularly transformers and large language models.Strong engineering skills with modern ML frameworks such as PyTorch.Demonstrated ability to take ML models from research to production in complex, data-rich environments.Exceptional written and verbal communication skills—able to explain complex technical ideas to cross-functional partners and synthesize clinical domain knowledge into research directions.Preferred QualificationsExperience with medical named entity recognition, clinical text classification, information extraction, report generation, or diagnostic reasoning systems.Prior work modeling clinical decision-making logic, differential diagnosis, or impression synthesis.Familiarity with medical data standards (DICOM metadata, HL7/FHIR) and healthcare NLP corpora.Clinical background (MD, DO) or formal training in medical informatics, computational biology, or health systems.Experience working specifically in radiology, diagnostic imaging workflows, or medical reporting systems.Track record of technical mentorship and contribution to broader research culture.Experience in regulated or privacy-sensitive domains (HIPAA, FDA, etc.).Publications in healthcare AI, clinical NLP, or biomedical informatics venues.Why This Matters:Radiologists are the invisible backbone of modern medicine. Every diagnosis, every surgery, every treatment plan begins with their interpretations. Yet they're often overwhelmed by cognitive load, repetitive tasks, and administrative overhead.At Rad AI, we're using ML to change that—building intelligent systems that understand medical context, streamline documentation, and amplify human expertise.You've already seen how AI can transform healthcare. Now help us push it further.Join us in shaping how AI supports the next generation of medical professionals.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About TensorWave At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.We’re looking for our first Product Manager to help us deeply understand our users and evolve our core infrastructure platform.What You'll DoBe the voice of the user. Talk to real customers daily — uncover how they’re using our GPU cloud, what problems they’re facing, and where we can help. Do the grunt work. Research competing solutions, study usage data, log feedback, and aggregate insights that inform product direction. Work hand-in-hand with engineering. Translate user problems into clear, technically-grounded suggestions for our eng team. Be in the loop on implementation and feasibility. Drive tactical product improvements. This is not about vision decks — you’ll own small, practical product decisions and help us ship fast. Understand the hardware. Our product is infrastructure: GPUs, interconnects, thermal design, memory bandwidth, cluster scheduling. You should love this stuff or be hungry to learn it. Own the roadmap (lightly). Keep an evolving list of what matters most. Prioritize customer impact. Make sure we’re not flying blind. Stay humble and curious. We don’t want someone trying to "own the product" — we want someone obsessed with understanding it. What We’re Looking ForMust-haves:Experience working with cloud infrastructure or GPU-based compute platforms You've either: Built or scaled a GPU/cloud platform Been a power user of cloud GPU clusters (e.g. ML researcher, systems engineer, etc.) Comfort working closely with engineering — possibly an engineering background yourself Strong customer empathy and experience in user research or product discovery You default to learning and listening, not over-asserting You’re comfortable owning small, iterative product decisions — not trying to design the master plan Nice-to-haves:Experience in early-stage startups or 0→1 product environments Understanding of AMD Instinct GPUs, ROCm, or similar AI/ML infrastructure stacks Technical writing or documentation experience Why This Role MattersThis is not a traditional SaaS PM job.We need someone who can deeply understand the needs of ML engineers, infrastructure teams, and AI researchers — and help us build a product that fits. You’ll be the connective tissue between our users and our hardware-backed engineering teams.This role reports directly to our CEO and works across engineering, operations, and support.What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health