Find AI Work That Works for You

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ is seeking an IT Engineer to help design, implement and maintain essential IT infrastructure for use by both HP IQ employees and our IT team. Our IT Engineers also work cross functionally with other teams to understand pain points, issues and blockers and find reliable and maintainable solutions. This role will also migrate tooling and infrastructure to HP tooling when appropriate and necessary. Additionally, this role serves as an escalation point for our IT Support team to assist and help when able.  What You Might Do Develop and support workflow automation for employee lifecycle and office technologies, including SaaS applications, MDM, asset management, etc. Migrate public cloud tooling to parent company tooling Build and maintain IT services with infrastructure as code Design and develop internal tooling and monitoring for IT services and cross functional partners Partner with our Facilities Team to set up new office spaces, including procurement and installation of AV, networking and security equipment Identify workflows, business processes and systems that could be migrated to parent company standards Configure, deploy and maintain company hardware Serve as an internal escalation point for our IT Support Specialist team Essential Qualifications BS in Computer Science or equivalent / 3+ years of equivalent IT Engineering experience Experience with scripting languages (Python, JavaScript, Bash, Powershell, etc.) Experience using REST APIs Understanding of network theory Familiarity with AWS, Azure and public clouds Preferred Skills Experience with Docker and Kubernetes Experience with Terraform or other Infrastructure as Code tooling Hands on experience with office build outs and moves Hands-on experience with client platform tooling for macOS and Windows (MDM, ABM, Intune, etc.) Ability to take ownership of problems presented by other teams and apply IT solutions Salary: $135,000- $188,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. Our data engineering group is based in our Bangalore, India office. In this role, you will work on customer-facing and Glean employee-facing analytics initiatives: Customer-facing analytics initiatives: Customers rely on in-product dashboards and if they have the willingness and resources, self-serve data analytics to understand how Glean’s being used at their company in order to get a better sense of Glean’s ROI and partner with Glean to increase user adoption.  You’re expected to partner with backend and data science to maintain and improve the data platform behind these operations reflect usage on new features reflect changes on the underlying product usage logs on existing features identify and close data quality issues, e.g. gaps with internal tracking, and backfill the changes triage issues customers report to us within appropriate SLAs help close customer-facing technical documentation gaps  You will: Help improve the availability of high-value upstream raw data by  channeling inputs from data science and business intelligence to identify biggest gaps in data foundations partnering with Go-to-Market & Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software partnering with Product Engineering teams as they craft product logging initiatives & processes Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs. Ensure and maintain the quality and availability of internally used tables within reasonable SLAs Own and improve the reliability, efficiency and scalability of ETL tooling, including but not limited to dbt, BigQuery, Sigma. This includes identifying implementing and disseminating best practices as well. About you: You have 9+ yrs of work experience in software/data engineering (former is strongly preferred) as a bachelor degree holder. This requirement is 7+ for masters degree holders and 5+ for PhD Degree holders. You’ve served as a tech lead and mentored several data engineers before. Customer-facing analytics initiatives: You have experience in architecting, implementing and maintaining robust data platform solutions for external-facing data products. You have experience with implementing and maintaining large-scale data processing tools like Beam and Spark. You have experience working with stakeholders and peers from different time zones and roles, e.g. ENG, PM, data science, GTM, often as the main data engineering point of contact. Internal-facing analytics initiatives: You have experience in full-cycle data warehousing projects, including requirements analysis, proof-of-concepts, design, development, testing, and implementation You have experience in database designing, architecture, and cost-efficient scaling You have experience with cloud-based data tools like BigQuery and dbt You have experience with data pipelining tools like Airbyte, Apache, Stitch, Hevo Data, and Fivetran General qualifications: You have a high degree of proficiency with SQL and are able to set best practices and up-level our growing SQL user base within the organization You are proficient in at least one of Python, Java and Golang. You are familiar with cloud computing services like GCP and/or AWS. You are concise and precise in written and verbal communication. Technical documentation is your strong suit.  You are a particularly good fit if: You have 1+ years of tech lead management experience. Note this is distinct from having a tech lead experience, and involves formally managing others. You have experience working with customers directly in a B2B setting. You have experience with Salesforce, Marketo, and Google Analytics. You have experience in distributed data processing & storage, e.g. HDFS Location: This role is hybrid (3 days a week in our Bangalore office) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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Who We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology.Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week.Who You AreEma is hiring a Cloud Partner Manager to lead our GTM partnerships with major cloud hyperscalers, with Microsoft (primary focus) and Google being key. We are a partner-led GTM company, so you will be an instrumental part of our growth trajectory.We’re looking for a seasoned professional with deep experience in working within hyperscaler partner ecosystems, particularly Microsoft Azure – building relationships across all levels, developing and owning a joint business plan, enabling partners’ sales and technical teams, and activating GTM motion with large Tier-1 partners targeting Fortune 500 enterprises. Proven experience navigating Microsoft's partner programs (e.g., Azure Marketplace, Co-sell, ISV Success) is essential. You should have a track record of enabling large partner teams on Enterprise SaaS or AI-driven solutions and driving significant revenue through partnerships.You will own the Partners’ revenue commitment attainment, as well as collaborate closely with the Sales, Marketing, Product, and Customer Success team to drive Partner success, and act as the voice of the partner internally to advocate for partner needs and product feedback. This role is ideal for you if you’re entrepreneurial, data-driven, and relationship-first. You understand that great partnerships don’t just drive revenue — they unlock new capabilities and customer value. You thrive at the intersection of strategy and execution and are energized by shaping a new category of enterprise software.This role is ideal for you if you’re entrepreneurial, data-driven, and relationship-first. You understand that great partnerships don’t just drive revenue — they unlock new capabilities and customer value. You thrive at the intersection of strategy and execution and are energized by shaping a new category of enterprise software.You WillIdentify and onboard strategic GTM partners within cloud hyperscaler ecosystems (e.g., AWS, Azure, GCP marketplaces, ISVs, service partners).Develop joint GTM strategies and value propositions aligned to industry verticals and enterprise workflows.Enable and train hyperscaler partner teams with custom collateral, certifications, and playbooks to drive adoption and co-selling. Negotiate partnership agreements and incentives to align with hyperscaler co-sell and marketplace programs.Drive pipeline and revenue through joint sales motions, partner-sourced opportunities, and co-sell initiatives. Build scalable partner infrastructure (portals, reporting, onboarding workflows) that syncs with hyperscaler systems.Represent the company at key hyperscaler and industry events, while staying ahead of trends in the cloud AI partnership ecosystem.Minimum Qualifications5+ years of experience in partner management at a SaaS, enterprise software, or AI company.Strong track record of building and scaling partnerships with cloud hyperscalers—especially Microsoft Azure (required) and Google Cloud—including experience with co-sell programs, marketplaces, and ISV GTM motions.Demonstrated success in driving sales impact through sourced and enabled GTM partnerships.Solid understanding of partner program structure, including incentives, marketing development funds (MDF), and co-sell frameworks.Deep familiarity with enterprise sales cycles, particularly in AI and automation markets.Skilled in negotiation, stakeholder management, and executive communication.Strategic and execution-oriented, able to operate quickly and effectively in a startup environment.Ideally, You'd HaveFamiliarity with agentic AI, RPA, enterprise workflow automation, or LLM-based platforms.Experience working with cloud hyperscalers (AWS, Azure, GCP)Prior exposure to RevOps tools like Hubspot, Salesforce or PRM systemsGood understanding of software development principles, data structures, and algorithms.Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.The ability to work collaboratively in an extremely fast-paced, startup environment.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Location: Remote (East Coast) or Hybrid in New York   Team: Corporate Security - Trust Operations   At Synthesia, we’re changing the way people communicate with video. Gone are the days of expensive cameras, studios, and actors — with our AI video platform, anyone can create professional videos in minutes. We’re used by over 60,000 businesses, from startups to the world’s biggest brands. And we’re just getting started.   As our team and customer base grow, we need to make sure our security and compliance efforts scale with us. That’s where you come in.   The role We’re looking for a Trust Operations Analyst to join our Corporate Security team.   You’ll help us keep Synthesia secure and audit-ready by supporting our internal and external trust operation efforts. This includes working with standards like ISO 27001, ISO 42001, SOC 2 and CSA STAR, while also interfacing with customers where necessary. In short, everything that is necessary to earn and maintain customer trust in our security and privacy.   This is a hands-on, cross-functional role that combines audit support, vendor and customer security engagements, and internal process development. You’ll work closely with experienced security professionals, as well as colleagues in Sales, Legal, Product & Engineering gaining deep exposure to a modern SaaS security landscape.   You don’t need to be a compliance expert, but if you have a solid background in security, are eager to learn, and are ready to be bold and take ownership, this role offers a great opportunity to grow quickly and actually have a real impact in a hypergrowth AI unicorn.   What you’ll be doing Supporting Sales and Legal teams by being a SME of all things security Maintaining and improving our internal security policies and processes Supporting evidence collection, documentation, and stakeholder coordination Collaborating with engineering, product, legal, and others to keep us all aligned Getting involved in risk assessments and tracking mitigation efforts Keep us on track and aligned with various frameworks (ISO 27001, ISO 42001, SOC 2, etc.) Exploring other certifications and frameworks as the business evolves   We’d love to hear from you if you: Are comfortable navigating technical concepts and asking insightful, well-informed questions We seek someone with technical aptitude. You don't need to be an expert programmer, but should be comfortable writing a simple Python script when needed Understand and have experience as a user of various AI, LLMs, and Coding agents tools Have experience within security, risk and compliance Are confident engaging with customers, providing clear and professional support both in writing and during live meetings Understand how cloud environments work — especially AWS Can work independently and proactively troubleshoot issues before escalating with clear, thoughtful, and specific questions Are organised, detail-oriented and communicate clearly and respectfully, whether you're writing documentation or collaborating with a team Bonus points if you: Have worked in a fast-growing startup or SaaS company Have supported or participated in an external audit before Work and incorporated AI into your work habits Have experience with frameworks like ISO 27001, SOC 2, or ISO 42001 Have used compliance tools like Vanta, Drata, or similar platforms Know what Okta, Wiz, and Github are Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. The good stuff... 📍A hybrid or remote-friendly environment. You can work fully remote if you're not local to our New York ofice. 💸 A competitive salary + stock options in our fast-growing Series D startup 🧓 401k Plan 🍼 Paid parental leave 🌴 25 days of annual leave + Public holidays + paid sick leave 🎉 Fun culture with regular socials 🤝 A generous referral scheme 💻 A brand new computer + monitor 🩺 100% Medical, Dental & Vision   You can see more about who we are and how we work here: https://www.synthesia.io/careers  

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YOUR MISSION: As a Lead Agent Integration Engineer (f/m/d), you will integrate Parloa’s product suite into our customers technical infrastructure, drive engineering excellence, and lead critical engineering initiatives. You will play a key role in mentoring and coaching engineers, while acting as an interface between our engineering, product, and customer success teams to shape the future of our platform through innovation and best practices, contributing to the success of the Parloa platform and customer projects.   IN THIS ROLE YOU WILL: Work closely with our customers to build an efficient integration architecture, incl. solution architecture or data flow diagrams Run workshops with our partners and customers around Parloa’s integration services  Lead technology improvements, initiatives and optimize engineering excellence Develop new features and functionality for a scalable and robust AIE ecosystem Drive tech debt reduction and enforce engineering best practices in testing, monitoring, and observability Act as a mentor and coach, supporting the growth of less experienced engineers Conduct pair programming and code reviews to maintain technical excellence Establish and maintain clear architectural documentation and guidelines Facilitate the productization of existing workarounds to enhance the AIE ecosystem Our Tech stack: Backend: TypeScript, Python, Node.js, API Gateway Infrastructure: Terraform, Azure, Kubernetes, CI/CD Pipelines Databases: CosmosDB, PostgreSQL Monitoring & Observability: DataDog, Prometheus, Grafana, OpenTelemetry AI & Data: LLMs, Prompt Engineering, Delta Sharing, Data ETL Pipelines   WHAT YOU BRING TO THE TABLE: 5+ years of experience in customer-facing full-stack engineering, ideally in a B2B context Strong experience with Azure services, cloud deployment, and infrastructure management Strong API design expertise (TypeScript focused), including API versioning and security best practices Proven track record of leading engineering initiatives and mentoring teams Bonus points if you also bring the following: Basic knowledge of conversational AI and NLU-related ML Containerization (Docker) and Kubernetes experience WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Live Challenge Task → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Agent Software Engineeirng team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $375K + Offers Equity

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TL;DR - We’re looking for Founding ML Engineers who will shape how we fine-tune, serve, and evaluate LLMs and frontier models in production - and help define what it means to build a truly lovable AI product.Why Lovable?Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking forLed or contributed to cutting-edge LLM research at top AI labs / globally leading tech startupsTrained and fine-tuned LLMs on large-scale code, language, or multimodal datasetsDeep understanding of transformer architectures, attention mechanisms, and model optimizationShipped ML systems in production, with real users and real uptimeBuilt fast, production-level systems while maintaining strong practices around reproducibility, monitoring, and model performanceYou hold somewhat strong opinions about model safety, latency and helpfulness, but aren’t afraid to experimentWhat you’ll doIn one sentence: Train, tune, and scale frontier LLMs that power lovable products.Own training pipelines for LLMs, from data curation to evaluation and deploymentFine-tune models on high-quality, domain-specific data (code, natural language, product usage signals)Work closely with product engineers to integrate models into real user-facing featuresBuild retrieval pipelines, evaluation frameworks, and experimentation toolsPush the limits of what’s possible with current/upcoming open models, and help define what we should train nextOur tech stackWe're building with tools that both humans and AI love:Frontend: React for lightning-fast interfacesBackend: Golang and Rust for serious performanceCloud: Cloudflare, Fly.io, Google Cloud Run, AWS, TerraformDevOps & Tooling: CI/CD pipelines, observability, infra-as-codeAnd always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with the team.Complete the take-home exerciseShow us how you approach problems during two technical interviewsJoin us for trial work lasting 2 days preferably on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal

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TL;DR - We’re looking for an exceptional platform engineer to design and scale the infrastructure behind the future of AI software engineering. You’ll own key parts of our backend, devops, and platform tooling—ensuring speed, reliability, and scalability across our stack.Why Lovable?Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking for5–7+ years building production-grade infrastructure as a Platform/DevOps/Site Reliability Engineer.Proven startup experience – you've scaled platforms at global tech startups and scale-ups.Expertise in distributed systems, CI/CD pipelines, internal tooling, observability, and cloud infra.Hands-on with Docker, Kubernetes, and modern infra practices.Strong coding chops and a proven track record boosting dev velocity and system reliability.A proactive problem-solver who thrives in ambiguity and can ship high-leverage systems fast.Balances security, stability, and speed – knowing when to optimize versus when to move quickly.Based in Stockholm or ready to relocate – this is a 5-day on-site opportunity.What you’ll doIn one sentence: Own and scale the platform that makes AI engineering work for everyoneBuild and maintain the systems that power our AI product—from backend performance to cloud deploymentsImprove developer experience: streamline our CI/CD pipelines, internal tools, and observability stackHarden our infrastructure against failures, downtime, and slowdownsCollaborate across teams - from product, frontend and backend - to ensure fast and reliable deliveryOwn your roadmap, architect systems, and carry them through to deploymentOur tech stackWe're building with tools that both humans and AI love:Frontend: React for lightning-fast interfacesBackend: Golang and Rust for serious performanceCloud: Cloudflare, Fly.io, Google Cloud Run, AWS, TerraformDevOps & Tooling: CI/CD pipelines, observability, infra-as-codeAnd always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with the team.Complete the take-home exerciseShow us how you approach problems during two technical interviewsJoin us for trial work lasting 2 days preferably on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.Our team is pushing the frontier of multimodal intelligence through Grok Voice, the world’s smartest AI assistant that is able to listen, see, and respond to you in real time. We actively research reinforcement learning to develop novel video understanding capabilities that solve user problems in both the physical and digital worlds. We own the full-stack of post-training: from data curation to model training, deployment, and iterating end-to-end on the user experience. Ideal candidates thrive well at the intersection of research and engineering. What you’ll do Research, design, and implement methods to enhance video understanding, whether through developing new models, systems, or tools. Improve data quality by curating robust datasets, building scalable data pipelines, and analyzing user interactions with models. Develop and apply evaluation metrics to measure model performance and systematically identify and address failure modes. Manage the complete experimental lifecycle: from designing experiments and training models to deployment and iterative refinement based on feedback and data. Ideal Experience You’d be an exceptional candidate if you possess some (or all) of the following: Experience in LLM reinforcement learning, tool use, and agentic approaches. Experience in real-world computer vision. For example, experience in visual/multimodal search and dealing with noisy visual data. Strong engineering background with experience working with large-scale, modern backend services. An attitude to just execute and solve problems. You’re willing to dive into new codebases you’ve not seen before if it means you can get stuff done faster. Tech Stack Python JAX / PyTorch Rust Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: One-on-one research discussion & coding interviews (three meetings total) Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. We do not condone usage of AI in interviews and have tools to detect AI usage. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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We're hiring an embedded software engineer to build reliable, high-performance systems on custom hardware. You’ll own low-level bring-up, write production C/C++ code, and work closely with hardware teams to debug, optimize, and ship. This role spans early prototyping through product launch and requires deep experience with embedded platforms, toolchains, and real-world constraints like memory, power, and latency.In this role, you will:Design, implement, and debug software for embedded devicesContribute to defining software requirements, interfaces, and test plansBring up and debug new boardsAnalyze performance, memory, and power profiles and implement optimizationsInvestigate field issues, perform root-cause analysis, and deliver robust fixesFoster good software engineering practicesYou might thrive in this role if you:10+ years of professional experience shipping embedded systemsProficiency in C and C++Familiarity with embedded toolchains, operating systems, and debugging toolsExperience with both rapid prototyping and scalable product development Preferred QualificationsExperience with Zephyr RTOSExperience with networking/wireless stacks (BLE, Wi-Fi)Experience with robotic system bring-upExperience with Linux kernel developmentAbout 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.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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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.What You'll Do As Fiddler continues to grow, we are always on the lookout for talented and passionate individuals to join our team across various functions. This evergreen requisition is designed to collect resumes from individuals with diverse backgrounds and skillsets who are interested in contributing to our mission of building trust into AI. We encourage applicants from all fields, including but not limited to:Software Engineering (Backend, Frontend, Full Stack, Data, Infrastructure, AI/ML)Data Science and Machine LearningProduct ManagementDesign (UX/UI, Product Design)Business OperationsGTM (Sales, Pre-sales, Post-sales, Customer Success, Marketing)Customer Success and SupportYou will contribute to shape the future of AI Observability, working collaboratively with cross-functional teams to solve complex problems and drive innovation. We seek individuals who are eager to learn, adapt quickly, and thrive in a fast-paced, multi-functional startup environment. You will be expected to continuously look for ways to improve our products, processes, and customer experience. What We're Looking For We are interested in individuals with a wide range of experiences and educational backgrounds. While specific requirements will vary by role, we generally look for:A passion for AI and its potential to impact society positivelyStrong problem-solving abilities and a desire to tackle challenging technical and business issuesExcellent communication and collaboration skills, with the ability to work effectively across distributed teams and time zonesA proactive and ownership-driven mindsetA commitment to continuous learning and professional developmentRelevant experience in your field of expertiseNice to HaveExperience in developing Data analytics / Application observability and monitoring solutionsExperience with large language modelsCompensation and In-Office PolicyPay Range in San Francisco Bay Area variesFiddler HQ (Palo Alto) operates as a hybrid company, with in-office requirements based on your location in the Bay Area. Depending on your proximity, employees are expected to be in the office 1-3 days per week.The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleFrom transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors. What You'll DoAdvance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.Actively contribute to the wider research community by sharing and publishing original researchHelp to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.Dial deeply into real-time feedback from clinicians to guide further refinements and innovationsBe results-oriented in the face of ambiguous problems and uncertain outcomesWhat You'll BringStrong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR).Significant real-world impact, as demonstrated through open source contributions and deployed technology.Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe’re looking for a Research Engineer to join our team working on generative AI and LLMs. In this role, you'll bridge research and engineering—designing scalable infrastructure, enabling cutting-edge experiments, and helping open-source the next generation of LLMs. You will collbaborate closely with our research team and the open-source community to build tools, run evaluations, and contribute to models that are safe, performant, and accessible.What you'll do:Design and build systems to support training, fine-tuning, and evaluating large language models.Partner with researchers to define experiments, write reusable code, run benchmarks, and interpret results.Work on LLM alignment and tuning using techniques like reinforcement learning (RLHF), supervised fine-tuning, and prompt optimization.Develop scalable ML pipelines for distributed training (e.g., across multi-GPU and multi-node environments).Contribute to open-source tooling and models to support transparency and community collaboration.Optimize performance across the ML stack—from data loading to deployment.What you’ll bring:Strong experience in machine learning, deep learning, or NLP—especially in generative AI or LLMs.Solid programming skills in Python, and experience with ML frameworks like PyTorch.Experience designing or maintaining ML infrastructure at scale (e.g., cloud-based training, distributed systems).Comfort working in highly collaborative environments with research and engineering teams.Bonus: experience with academic publications, open-source contributions, or LLM alignment work.Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: $140,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:We are seeking a Senior Embedded Software Engineer to join our team, focusing on the security and connectivity of our next-generation embedded devices built on the Nvidia Jetson platform. This role emphasizes the development of secure, connected edge software that interfaces with cloud services, manages device data integrity, and ensures reliable OTA updates. You’ll work closely with platform, cloud, and security teams to create scalable, robust, and secure systems.Responsibilities: Develop, harden, and maintain secure Linux-based embedded applications and services for edge devices.Design and implement secure communication protocols between edge devices and cloud infrastructure (e.g., AWS, Azure).Work on integration and management of secure OTA mechanisms for system and application updates.Implement authentication, encryption, and certificate management best practices on-device.Collaborate with cloud and platform teams to ensure seamless end-to-end data integrity and telemetry workflows.Build tooling and infrastructure to monitor device health and detect anomalies or security breaches.Participate in architectural discussions for fleet-wide device lifecycle management and remote diagnostics.Required Qualifications:Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.5+ years of experience building software for embedded Linux systems.Proficient in C/C++ and Python; experience writing secure, maintainable production code.Strong understanding of Linux user-space and system-level programming (e.g., systemd, dbus, journald).Experience implementing device-to-cloud communication with protocols such as MQTT, HTTPS, or gRPC.Familiarity with common cloud platforms (AWS/Azure) and APIs for IoT or edge deployments.Solid knowledge of encryption, TLS, certificates, secure boot, and device authentication.Experience designing or maintaining OTA update systems, including A/B partitioning or failover recovery.Strong debugging skills across software, system services, and network layers.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Join Labelbox as a Technical Program Manager, where you will lead high-impact initiatives at the intersection of data and AI. This is an opportunity to take charge of complex, high-stakes projects, bringing together talented project managers and engineers to deliver exceptional results for our GenAI lab partners. You will guide cross-functional teams in the execution of advanced data annotation projects that power next-generation AI solutions. With autonomy and authority, you’ll have the freedom to innovate and the responsibility to execute with precision, speed, and craftsmanship. We’re looking for a strategic thinker who thrives in fast-paced, high-pressure environments. If you’re someone who can confidently take ownership of challenges and deliver excellence, this is your chance to shine. Your Impact Lead cross-functional AI initiatives – Manage and execute high-stakes AI data projects, ensuring technical and operational excellence. Partner with AI Labs – Collaborate to define project requirements, success metrics, and quality measurement frameworks. Translate strategy into execution – Break down abstract goals into clear action plans, leveraging existing tools and building new solutions as needed. Unblock yourself and the team – Proactively identify and resolve dependencies, leveraging your technical expertise to keep projects moving. Communicate with precision – Provide stakeholders and leadership with clear, actionable updates, ensuring alignment and proactive risk mitigation. What You Bring A bachelor’s degree, or higher, in computer science, engineering, or related STEM fields.Working proficiency in SQL and Python  Familiarity with BI tools, like Looker, to track performance and visualize key insights. Familiarity with tools like JIRA, Asana, or Notion to track project progress and drive execution. Ability to bridge the gap between technical and operational teams, translating complex requirements into clear execution plans. You thrive in high-stakes, fast-paced environments – You’re energized by solving complex challenges and driving high-impact initiatives with urgency and precision. You take ownership and move fast – You don’t wait for direction; you proactively identify opportunities, tackle roadblocks, and drive execution. You’re an operational powerhouse – You have a knack for building and refining scalable systems, ensuring efficiency, quality, and seamless execution. You thrive in ambiguity – You can navigate shifting priorities with ease, making smart decisions even when the path forward isn’t fully defined. A strong understanding of how LLMs work and of prompt engineering. Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$140,000—$170,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities.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 TechnologyMirage Announcement our proprietary omni-modal foundation modelSeeing Voices (technical paper) generating A-roll video from audio with MirageMirage Studio for generating expressive videos at scale"Captions: For Talking Videos” available in the iOS app storePress CoverageLenny’s Podcast: Interview with Gaurav Misra (CEO)Latest Fundraise: Series C AnnouncementThe Information: 50 Most Promising StartupsFast Company: Next Big Things in TechBusiness Insider: 34 most promising AI startupsTIME: The Best Inventions of 2024Our 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:Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities:Research & Architecture Development:Design and implement novel architectures for large-scale video and multimodal diffusion modelsDevelop new approaches to multimodal fusion, temporal modeling, and video controlResearch temporal video editing techniques and controllable generationResearch and validate scaling laws for video generation modelsCreate new loss functions and training objectives for improved generation qualityDrive rapid experimentation with model architectures and training strategiesValidate research directly through product deployment and user feedbackModel Training & Optimization:Train and optimize models at massive scale (10s-100s of billions of parameters)Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LMDesign and implement model surgery techniques (pruning, distillation, quantization)Create new approaches to memory optimization and training efficiencyResearch techniques for improving training stability at scaleConduct systematic empirical studies of architecture and optimization choicesTechnical Innovation:Advance state-of-the-art in video model architecture design and optimization Develop new approaches to temporal modeling for video generationCreate novel solutions for multimodal learning and cross-modal alignmentResearch and implement new optimization techniques for generative modeling and samplingDesign and validate new evaluation metrics for generation qualitySystematically analyze and improve model behavior across different regimesRequirements:Research Experience:Master's or PhD in Computer Science, Machine Learning, or related fieldTrack record of research contributions at top ML conferences (NeurIPS, ICML, ICLR)Demonstrated experience implementing and improving upon state-of-the-art architecturesDeep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.)Strong background in optimization techniques and loss function designExperience with empirical scaling studies and systematic architecture researchTechnical Expertise:Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.)Experience training diffusion models with 10B+ parametersExperience with very large language models (200B+ parameters) is a plusDeep understanding of attention, transformers, and modern multimodal architecturesExpertise in distributed training systems and model parallelismProven ability to implement and improve complex model architecturesTrack record of systematic empirical research and rigorous evaluationEngineering Capabilities:Ability to write clean, modular research code that scalesStrong software engineering practices including testing and code reviewExperience with rapid prototyping and experimental designStrong analytical skills for debugging model behavior and training dynamicsFacility with profiling and optimization toolsTrack record of bringing research ideas to productionExperience maintaining high code quality in a research environmentAbout the Team:You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.Our team values:Open technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat sets us apart:Opportunity to advance the state-of-the-art in video generationDirect impact on products used by millions of creatorsAccess to massive compute resources and diverse, large-scale datasetsEnvironment that values both research excellence and practical impactAbility to validate research through direct product feedbackBenefits: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! Doordash DashPass 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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Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities.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 TechnologyMirage Announcement our proprietary omni-modal foundation modelSeeing Voices (technical paper) generating A-roll video from audio with MirageMirage Studio for generating expressive videos at scale"Captions: For Talking Videos” available in the iOS app storePress CoverageLenny’s Podcast: Interview with Gaurav Misra (CEO)Latest Fundraise: Series C AnnouncementThe Information: 50 Most Promising StartupsFast Company: Next Big Things in TechBusiness Insider: 34 most promising AI startupsTIME: The Best Inventions of 2024Our 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 RoleAs an expert in making AI models run fast—really fast—you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance.Key ResponsibilitiesOptimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUsDesign, implement, and benchmark custom CUDA and Triton kernels for performance-critical operationsIntegrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passesProfile and debug the entire stack—from kernel launches to multi-GPU I/O paths—using Nsight, nvprof, PyTorch Profiler, and custom toolsWork closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art qualityStay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impactCollaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experimentsProvide clear, data-driven insights and trade-offs between performance, quality, and costContribute to a culture of fast iteration, thoughtful profiling, and performance-centric designRequired QualificationsBachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloadsDeep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuningStrong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel trainingProven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives)Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as KubernetesPreferred QualificationsAdvanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related fieldExperience with multi-modal AI systems, particularly video generation or computer vision modelsFamiliarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniquesKnowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworksExperience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster managementAbility to translate research goals into performant code, balancing numerical fidelity with hardware constraintsStrong communication skills and experience mentoring junior engineersBenefits: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! Doordash DashPass 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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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning and workflow automation.We developed the first Domain Specific Language (DSL) that fully represents regulatory requirements in AI code. Deployed through our enterprise platform, this DSL empowers Norm clients to transform workflows and enforce compliance checks at the core of their business operations.By building and deploying Government-Grade Regulatory AI, we are setting the standard for compliance processes within the world's largest institutions and paving the way for broader deployment of AI agents in highly regulated workflows. Our rapidly expanding client base manages a combined $17 Trillion in AUM.Our team comprises software engineers from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT, and legal engineers from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have secured investments from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.About the roleWe’re looking for our first Quality Engineering Lead to establish and scale our QA strategy at the forefront of AI-powered enterprise compliance software. As our first dedicated quality hire, you’ll define and implement test processes, while partnering closely with engineering, product, and design to ensure our most complex and high-impact workflows are reliable and regression-resistant.This is a hybrid role: part technical contributor, part process leader, and part future team building. You’ll own the foundation of our quality efforts and help us evolve toward a scalable model that supports fast iteration without sacrificing stability.Core Responsibilities:Define and operationalize a pragmatic quality strategy that supports fast-moving, engineering-owned development.Lead by example–writing, organizing, and maintaining regression test plans (manual and automated) for critical flows.Partner with engineers to identify test gaps, reduce flakiness, and improve coverage across branching workflows.Introduce and enforce lightweight release-readiness practices for high-risk changes.Build tooling or partner with platform engineers to improve test infrastructure, data generation, and CI reliability.Track and share key quality metrics (e.g. regression trends, test pass rates, flaky test triage).Own root cause analysis for regressions and help ensure long-term prevention.Develop the roadmap to scale the QA function, including evaluating when and how to grow a team.Skills & Experience - Core:5+ years of experience in software engineering, QA, quality engineering, or test infrastructure rolesStrong experience designing and executing test strategies for complex, evolving enterprise productsHands-on experience with end-to-end testing tools (e.g. Playwright, Cypress), and writing maintainable automated testsComfort acting as both an individual contributor and quality process ownerExperience with CI/CD systems and improving test visibility and observabilityHigh ownership mindset with strong collaboration and communication skillsAbility to work cross-functionally with engineers, PMs, and designers to prioritize quality in the product lifecycleSkills & Experience - Pluses:Experience as a first QA hire or building QA functions from scratchExposure to AI-powered, probabilistic, or highly dynamic UIsFamiliarity with testing in regulated or enterprise environmentsExperience mentoring or managing other QA engineers, contractors, or automation specialistsWhat success looks like after 30 daysYou’ve mapped out key risk areas in the product and identified priority test coverage gapsYou’ve proposed a practical QA model that supports team-owned quality and minimizes regressionsYou’ve partnered with engineering leads to improve existing test coverage and reliability in CIYou’ve begun organizing and documenting regression testing practicesWhat success looks like after 90 daysYou’ve led structured regression testing cycles for high-risk workflows, with measurable impactYou’ve introduced key process improvements that help engineers ship with more confidenceYou’ve established visibility into test failures, coverage gaps, and quality KPIsYou’ve drafted a plan to scale the QA function, including staffing needs and tooling investmentsComp and Benefits $130,000-$185,000 a year plus equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About the Role:As a GRC Analyst at Cohere, you will be at the forefront of protecting our Enterprise AI solutions, managing technology and security risks, and supporting compliance initiatives. Your role is critical in maintaining the integrity of Cohere’s internal control environment. Collaborating with cross-functional teams—including Engineering, Security, IT, Legal, Sales, and others—you will uphold our compliance standards, grow to be a trusted advisor, facilitate audits, and drive continuous improvement of Cohere’s GRC program.This is a unique opportunity to join a key player in the rapidly evolving AI industry, where enterprise adoption is soaring. Cohere is at the forefront of this transformative moment, and we’re seeking proactive, go-getter candidates who are ready to dive into every GRC-related initiative. While experience is valuable, we also prioritize enthusiasm and a hands-on attitude, as you’ll be deeply involved in shaping and executing our GRC efforts. Join us and play a pivotal role in securing Cohere’s future in AI.Key Responsibilities:Develop and Enhance the GRC Program: Assist in the creation, implementation, and ongoing maintenance of Cohere’s Governance, Risk, and Compliance (GRC) program.Align Security Measures with Frameworks: Evaluate Cohere’s comprehensive security measures to ensure alignment with industry standards such as NIST 800-171, ISO 27001, SOC 2, and regulatory requirements.Implement Tailored Risk Controls: Support the design and deployment of risk mitigation controls specific to Cohere’s unique AI and data processing environment.Conduct Control Assessments and Audits: Assist in executing internal audits and control assessments to ensure compliance with internal policies, regulatory mandates, and customer requirements.Perform Third-Party Risk Assessments: Collaborate with cross-functional teams to evaluate risks associated with third-party vendors and partners.Maintain GRC Documentation: Ensure policies, standards, and procedures are regularly updated and accurately reflect Cohere’s GRC practices.Support Risk Management: Identify, assess, track, and report risks to strengthen Cohere’s Risk Management program.Respond to External Inquiries: Address questions from customers, auditors, partners, and other stakeholders regarding Cohere’s security program.Monitor Regulatory and Industry Trends: Stay informed on emerging regulations and best practices, recommending adjustments to the GRC program as needed.Report GRC Metrics: Collect, analyze, and present key performance metrics for GRC initiatives, providing actionable insights to leadership and stakeholders.You May Be a Good Fit If:You have 1+ years of experience in Governance, Risk, and Compliance roles, with a focus on security and data privacy in AI or technology-driven SaaS environments.You have written technical policies, procedures, standards with focus on Security.You are familiar with varying frameworks (e.g., NIST, ISO 27001, ISO 42001) and compliance regulations (HIPAA, GDPR, CCPA, EU AI Act).You have an understanding of cloud security concepts and industry best practices, particularly in AI and data-intensive environments.You have been exposed to some scripting experience (e.g., Python, PowerShell) to automate recurring tasks and streamline GRC processes.You thrive in ambiguous environments, making informed decisions with limited data and adapting quickly to evolving regulatory landscapes.You can communicate complex compliance concepts clearly to both technical and non-technical audiences, building trust and alignment across teams.You have excellent written and verbal communication skills, with the ability to create and present reports, policies, and recommendations effectively.Note: This post is co-authored by both Cohere humans and Cohere technology.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Your New Role and Team Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is looking to hire a skilled and motivated Senior Reliability Engineer to join our Operations team. The Senior Reliability Engineer is a crucial part of our team, supporting product commercialization, NPI and volume manufacturing.. Reporting to the Head of Operations,, you’ll contribute to the overall efficiency and effectiveness of our growing organization. As Sanctuary AI’s Reliability Engineer , you'll be a valued part of the team as you support the continued improvement in our Operations function, own the coordination of team project deliverables, and innovate best practices that drive continuous improvements in our product commercialization, NPI and volume manufacturing. This is a high-impact role with strong ownership. You’ll shape how reliability and quality practices are embedded throughout our design, development, and production workflows