Find AI Work That Works for You

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About IntangibleIntangible is a spatial intelligence AI company for creatives in film, advertising, events, marketing and interactive media. We make constructing 3D experiences dramatically faster, cheaper and more collaborative for creative, distributed teams. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM and Electronic Arts. Intangible is seed funded by a16z Speedrun, Crosslink Capital and prominent angels.We are a design-obsessed team shipping a groundbreaking product — and we’re looking for someone who shares our attention to detail and love of craft in building fun things. If you’ve been looking for something with actual creative freedom and real impact I promise you - this is it. General InterestWe’re always excited to meet talented, driven individuals who want to shape the future with us. If you don’t see an open role that matches your expertise but believe you’d be a great fit for our team, we’d love to hear from you!Submit your application and we’ll keep your details on file. When the right opportunity comes up, we’ll be sure to reach out.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobWe're looking for a machine learning engineers who can work on large-scale image and video models training experiments..Some stuff you can do:Train foundation diffusion models for image and video generation.Train controllability modules such as IPAdapters or ControlNets.Develop novel research techniques and put them into production.Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasetsExample experience and skills we’re looking forProven track record in working with image or video models at scale (publications or open-source contributions a plus)Strong background in deep learning frameworks and distributed training paradigms.Ability to iterate rapidly, and propose creative research directionsA bit more about usWe’ve raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.OverviewHippocratic AI is seeking a PM to lead the development of our model evaluation and data generation platform. In this role, you’ll drive the creation of high-quality training and test datasets that inform our model’s roadmap and ensure safety in healthcare deployments.ResponsibilitiesDefine the strategy and architecture for model evaluation across agent behaviors.Collaborate with data scientists, ML engineers, and clinicians to craft robust benchmarks.Design and manage internal and external workflows for data labeling and generation.Monitor data quality and iterate on tooling and process efficiency.Work closely with the model training team to align data feedback loops with product performance.Qualifications3+ years in product management with experience in ML evaluation, labeling, or data pipelines.Familiarity with language model datasets, especially in high-stakes or regulated settings.Experience collaborating with labeling vendors, data QA teams, or managing Mechanical Turk-style pipelines.Attention to detail in process design and tooling for human-in-the-loop systems.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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FORWARD DEPLOYED ENGINEERAbout H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI and engineering talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning and collaboration, where everyone has something to contribute.Holistic, Humanist, Humble. About the Team: The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.Key Responsibilities:Understand and identify customer’s most important and impactful multi-step task to automateSeamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution deliveryArchitect, build, and maintain production-grade services that scale with usage and complexityCollaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the fieldRequirements:3+ years of professional software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiencesExperience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real productsFluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)Familiarity with frontend frameworks (e.g., React, Vue) and a good sense of UI/UX tradeoffsExperience building and deploying production systems—APIs, services, infrastructure, and/or data pipelinesProficiency in integrating third-party APIs, databases, and external systems in a secure and reliable wayStrong problem-solving skills and ability to thrive in ambiguous, customer-facing environmentsExcellent communication skills, both written and verbalBias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutionsWillingness to travel for on-site deployments or customer engagementsLocation:H's teams are distributed throughout France, the UK, and the USThis role is currently in ParisThe final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.Enjoy a competitive compensation package, including salary and equityUnlock opportunities for professional growth, continuous learning, and career development

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesOwn the customer relationship post-sale, serving as the primary technical advisor and strategic partner for enterprise accountsBuild and deploy AI-powered growth workflows in AirOps to solve high-impact customer problems and accelerate time-to-valueDevelop and scale our enterprise delivery playbook, balancing hands-on execution with systems-level thinkingPartner cross-functionally with Product, Engineering, Growth, and CX to validate new use cases, influence roadmap priorities, and help customers unlock new valueDrive adoption and usage expansion by identifying whitespace opportunities and aligning AI workflows to business goalsLeverage the AirOps platform internally to improve service delivery and demonstrate the art of the possible for customersMonitor success metrics, analyze usage trends, and present insights and recommendations to internal stakeholders and executive sponsorsLead enablement efforts, including onboarding, technical documentation, and training tailored to enterprise usersContribute feedback to product and design teams to improve usability, performance, and customer satisfactionExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup or B2B SaaS company; we 💚 former (or future aspiring) foundersExperience supporting large enterprise customers with complex, multi-stakeholder environmentsHands-on experience with LLMs, AI/ML technologies, or workflow automation platforms (e.g., Zapier, Make, Retool)Strong builder mindset with the ability to prototype and iterate in AirOps or similar platformsFamiliarity with prompt engineering, retrieval techniques, and integrating AI into customer workflowsComfortable working in startup environments where ambiguity is the norm and roles evolve rapidlyExcellent communication and project management skills; able to translate between technical and business stakeholdersBonus: working knowledge of Python, JavaScript, or other scripting languagesBonus: experience with SEO and Content MarketingOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.This jobRobust, reliable, and scalable distributed systems form the backbone of Krea. These systems support the infrastructure that powers our AI research, real-time user experiences, and large-scale model deployments.As a Distributed Systems Engineer, you will…… design, build, and maintain large-scale distributed infrastructure to reliably support AI research and real-time model serving.… own and scale our multi-thousand-node Kubernetes GPU clusters, ensuring efficient and fault-tolerant operations.… collaborate closely with ML engineers and researchers to architect systems that enable rapid experimentation and deployment.… improve network architecture, optimize load balancing, and streamline operational practices across multi-zone cloud deployments.Example projectsOwn and manage a large-scale Kubernetes cluster designed to run extensive ML training and inference workloads.Architect fault-tolerant systems ensuring uninterrupted model training and real-time inference despite individual node failures.Develop and implement optimized load-balancing strategies to efficiently distribute workloads across zones.Create comprehensive monitoring, alerting systems, and operational playbooks for high-availability clusters.Migrate existing deployments to Infrastructure as Code (Terraform) for reproducibility and scalability.Setting up IP-based rate-limiting to prevent GPU abuse.Strong candidates may have experience with…Kubernetes at scale (thousands of nodes)Cloud infrastructure management (AWS/GCP/Azure)High-performance and fault-tolerant networkingLow-level Linux interfaces and administrationDebugging complex distributed systems in productionPython, Golang, Ruby, Rust, and similar systems languagesBonus: Infrastructure as Code (e.g. Terraform)About usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI. If you see possibilities where others see limits, read on.About the RoleYou’ll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows. Expect to:Think from zero. Whiteboard the concept in the morning and demo it by evening.Own the stack. Backend, frontend, model orchestration, observability—whatever removes friction between idea and shipped product.Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.Define the bar. Establish the engineering, design, and reliability standards that every future hire will follfow.Move markets. Your features won’t live in a sandbox—they’ll redefine how everyday people trust and collaborate with AI.You’ll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions. Key ResponsibilitiesCraft end-to-end experiences: Design, code, and ship full-stack features—Python, TypeScript, Postgres, GPU infra—whatever it takes. Design the MCP schema: Create flexible, extensible JSON-based models that represent property context, room types, policies, branding, and more. Integrate core booking systems: Build robust connectors to PMS, CRM, messaging platforms, and booking enginesBuild internal and partner-facing APIs: Develop secure, scalable APIs that ingest, structure, and serve hotel context to downstream AI agents. Engineer for trust: Single-digit-ms paths, sandboxed execution, telemetry everywhere—four nines or it’s broken. Invent agentic primitives: APIs, eval harnesses, and safety guardrails that let wild research ship to millions. Listen, iterate, delight: Sit with users, absorb the pain, and turn feedback into joy—fast. What You BringMust HavesMore than 5 yrs years of professional software engineering experienceStrong backend fundamentals: REST API architecture, distributed systems, cloud deploymentProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Py C. B thon)Some experience with relational databases like Postgres/MySQLDeep experience integrating 3rd-party APIs and building data abstraction layers (bonus: hotel/hospitality tech exposure)Working knowledge of LLM pipelines, embeddings, and context windows (LangChain, OpenAI Assistants API, etc.)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.Nice to HavesFamiliarity with travel tech (e.g. Mews, SynXis, Oracle Opera, Cloudbeds)Experience designing or managing structured knowledge graphs or JSON schemasExperience with LLMs, prompt engineering, or function callingFormer founder, or early engineer at a startup who has built a product from scratch is a plusInterest in AI/ML (direct experience not required)

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, 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.   Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]  We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists and campaign managers to improve RTB (Real-Time Bidding) campaign performance through model enhancements, strategic insights, and cross-team collaboration. You will have the opportunity to run large-scale A/B testing experiments on billions of ad requests daily, identify key signals that drive performance, and shape the optimization direction based on real-time data and industry trends. This is an ideal opportunity for someone who is passionate about advertising technology, machine learning applications, and performance marketing. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Analyze competitor strategies and market trends to identify optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Collaborate with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across teams. Qualifications: Education: Background in Engineering, Data Science, Marketing, or related fields is a plus. Availability: Must be available full-time; based in TW preferred. Language Skills: Proficient in English and Mandarin; able to clearly articulate ideas and findings across technical and non-technical audiences. Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.   #LI-AK1

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services.Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking For: At Distyl we’re bringing AI to the F500 and deliver novel and delightful user experiences. We’re looking for experienced Front End Engineers who are excited to define the future of work with a focus on human value. You will build the UI/UX patterns in which AI is deployed and used by the world’s most important institutions.Success at Distyl requires an obsessiveness about the user’s experience with our product and a drive to deliver great software. As an early member of our FE engineering team, your day to day will vary from writing code, collaborating with product and design on defining our products, and building core engineering infrastructure.Key Responsibilities:Building Enterprise Grade Frontend Applications: You will collaborate closely with the rest of our team to deliver high quality frontend applications.Solution Design: Collaborate closely Distyl AI Strategists to deeply understand customer’s workflows and design tailored AI solutions.End-to-End Software Ownership: Take charge of the entire software lifecycle, from service development to deploying them in customer cloud environments.Qualifications:Strong Coding Skills: Strong command of frontend development using React/TypeScript is essential. Backend experience in Python is beneficial and experience with AI/ML is helpful.User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring that solutions are not only technically sound but also closely aligned with customer needs and experiences.An Eye for Design: We often build before pixel perfect mocks are built, being able to make a reasonable design choice within the design system is key.Software Architecture: Demonstrated ability in architecting front end applications for change is critical.What We Offer:Competitive salary and benefits package, including equity options and healthcare.Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleAs a Lead Software Engineer in our Customer Development team, you won't just build software - you'll lead the charge in deploying, customising, and scaling our groundbreaking Frontier platform directly with our enterprise clients.As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, remain close to live customer feedback whilst leading the way in technical best practices.In this role, you'll be immersed in leading the deployment of Frontier in complex environments, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights.Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.What you will be doingAt the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions..As a Lead Software Engineer in the Customer Development team, you’ll lead the technical delivery of customer-facing projects, guiding a small, cross-functional team. You’ll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You’ll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one.Your responsibilities will includeLead Client Engagements: Act as the primary technical authority and partner for our enterprise clients, guiding them from discovery through to successful production deployment.Mentor Your Squad: Lead and mentor a dedicated, cross-functional squad of engineers, fostering their growth and setting the standard for technical excellence and creative problem-solving.Architect & Build Solutions: Roll up your sleeves to design, build, and extend components of the Frontier platform (Python, TypeScript, IaC) to meet specific customer challenges and workflows.Bridge Product and Delivery: Be the crucial link between our customers and our core product teams. Translate customer needs and implementation challenges into actionable feedback and feature requests that shape the future of Frontier.What You'll Bring to the TeamLeadership & Communication:Exceptional Communication: You have a proven ability to distill complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders. This is crucial for success.Pragmatic Leadership: Experience leading complex technical projects and mentoring other engineers, empowering them to do their best work.Customer-Centric Mindset: A genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value.Technical Expertise:Full-Stack Proficiency: Strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design.Core Technologies: Expertise in Python and TypeScript/React.Infrastructure & Deployment: Solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes. Hands on experience deploying scalable applications in one of AWS, Azure or GCP.Testing & Quality: A demonstrated history of championing automated testing strategies to ensure robust and reliable code.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobData is one of the fundamental pieces of Krea. Huge amounts of data power our AI training pipelines, our analytics and observability, and many of the core systems that make Krea tick.As a data engineer, you will…… build distributed systems to process gigantic (petabytes) amounts of files of all kinds (images, video, and even 3D data). You should feel comfortable solving scaling problems as you go.… work closely with our research team to build ML pipelines and deploy models to make sense of raw data.… play with massive amounts of compute on huge kubernetes GPU clusters - our main GPU cluster takes up an entire datacenter from our provider.… learn machine learning engineering (ML experience is a bonus, but you can also learn it on the job) from world-class researchers on a small yet highly effective tight-knit team.Example projectsFind clean scenes in millions of videos, running distributed data pipelines that detect shot boundaries and saving timestamps of clips.Solve orchestration and scaling issues with a large-scale distributed GPU job processing system on kubernetess.Build systems to deploy and combine different LLMs to caption massive amounts of multimedia data in a variety of different ways.Design multi-stage pipelines to turn petabytes of raw data into clean downstream datasets, with metadata, annotations, and filters.Strong candidates may have experience with…Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy…KubernetesDesigning and implementing large-scale ETL systemsFundamental knowledge of containerization, operating systems, file-systems, and networking.Distributed systems designAbout usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. As a new graduate joining us in 2026, you'll be part of a high-growth environment where you'll learn to build scalable systems while leveraging AI tools to accelerate your development and problem-solving. Our ideal candidate is a smart, high-potential recent grad who is AI native, comfortable integrating AI into their workflow to ship code efficiently and reliably. Read more about AI native engineering teams here.What You'll DoContribute to building scalable backend systems to handle high-throughput financial transactions in a fast-paced FinTech startup.Collaborate on designing and implementing features, incorporating AI tools to automate testing and speed up development cycles.Help ensure system reliability through monitoring, debugging, and scaling efforts to support a growing user base.Work closely with the team to solve real-world problems, learning best practices in software engineering along the way.What You'll NeedA strong foundation in computer science fundamentals, such as data structures, algorithms, and software design, ideally demonstrated through academic projects, internships, or personal initiatives.Enthusiasm for backend development and an eagerness to learn modern tools and practices in a regulated environment.Familiarity with or interest in using AI tools to enhance coding efficiency and innovation.Excellent problem-solving skills, a growth mindset, and the ability to collaborate in a supportive, low-churn team focused on excellence.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, 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. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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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 Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. We are looking for a user-centric Product Designer who has hands-on experience building complex but intuitive digital products. As a Product Designer at Abridge, you would work with our team of product managers, engineers, researchers, and creatives to craft high-quality products that continue to transform care delivery experiences. You will work with complex and regulated workflows, which include establishing design standards, systems, and processes for our AI-powered healthcare product. What You'll Do:As our Product Designer, you’ll shape the product experience at Abridge, setting a high bar for taste, clarity, and strategic thinking across initiatives that directly impact clinicians, patients, and care teams.You’ll collaborate deeply with cross-functional partners, immerse yourself in the complexity of clinical workflows, and bring structure and empathy to ambiguous problems. Whether you’re prototyping new ideas or refining existing features, you’ll advocate for design excellence at every stage of the product lifecycle.Simplify the Complex: Tackle our most challenging and ambiguous design problems, transforming complex clinical workflows and AI capabilities into intuitive and delightful user experiences.Elevate Our Craft: Push the boundaries of visual and interaction design. You have an extremely strong command of design principles, motion, and prototyping, ensuring every pixel and interaction is meticulously considered and executed to perfection.Lead End-to-End Design Execution: Design for today’s needs and tomorrow’s challenges, translating early ideas into concrete, high-fidelity designs, prototypes, and user flows. No task is too small or too large when it comes to building exceptional products.Champion User-Centered Design: Advocate passionately for our users—clinicians who rely on our product daily. Engage in user research, synthesize insights, and ensure that every design decision is rooted in a deep understanding of their needs and pain points.What You'll Bring:5-10+ years of experience shipping impactful product design in complex domains. Bonus points for AI experience.A proven track record of leading significant design initiatives from concept to launch, demonstrating measurable impact on user experience and business outcomes.A high craft bar that you consistently meet and exceed. You sweat the details and inspire others to do the same.Exceptional communication, presentation, and storytelling skills that enable you to articulate design rationale and influence stakeholders at all levels.A highly collaborative spirit and a low ego, with a genuine desire to learn, teach, and grow with a fast-paced, high-performing team.Ideally, you’d have experience with:AI/ML productsConsumer mobileEnterprise product experienceThis is a hybrid role requiring a minimum of 3 days per week in our San Francisco office, with flexibility for remote work on other days. 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!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.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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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. What you'll doDesign, implement, deploy, and maintain private APIs for our main web and mobile applications.Design database models.Fix issues with our system that, among other things, may be related to how HTTP/3 handles client-side connections to our processes.Improve database and infrastructure performance by implementing caching solutions or better connection pooling.Profile and find bottlenecks for many types of HTTP/WebSockets requests to enable real-time image generation—and even video!Improve observability, monitoring, and alerting for our service so that we can better respond to operational incidentsScale our service via architectural changes as well as infrastructure improvementsOpen-source any non-trivial innovations that come out of our work on the productDesign and iterate over software development processes so that we can build an web-native and AI-native creative tools for people.Professionalize our main product by adding enterprise-grade features such as Audit Logs, SAML/SSO, SCIM.Our stackJavascript/TypeScriptSvelte & SvelteKitNode, Postgres, and RedisWebSocketsManaged Kubernetes cluster(s) on AWSMonitored and observed via Axiom/HyperDX/Prometheus/OpenTelemetryGitHub, Slack, Notion

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About the TeamThe Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleThe cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably.This role is based in San Francisco, CA. In this role, you will:Design and build the development and production platforms that power our products, enabling reliability and security at scaleEnsure our infrastructure can scale to the next order of magnitudeHelp create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group thinkLike all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scaleHave experience building abstractions over cloud platformsTake pride in building and operating scalable, reliable, secure systemsAre comfortable with ambiguity and rapid changeThis role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your  team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will:  Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.  Manage a team of 5+ Applied AI Engineers / ML Engineers Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines.  Create state of the art techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 3 years of model training, deployment and maintenance experience in a production environment At least 1-2 years of management or tech leadership experience Strong skills in NLP, LLMs and deep learning  Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.  Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.  Strong written and verbal communication skills to operate in a cross functional team environment Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.