Find AI Work That Works for You

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. Specific teams may have specific location preferences.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is scaling rapidly but we are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Most importantly, you’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleAt ElevenLabs, we believe AI will fundamentally change how companies grow and win customers. As an AI Automations Engineer, you'll be at the heart of that transformation—designing and building the next generation of tooling for go-to-market (GTM), Operations, and Finance teams.This is a highly cross-functional, technical role where you’ll use your full-stack engineering skills to build systems that supercharge ElevenLabs. You’ll embed within a specific team, and work closely with sales, marketing, operations, and product leaders to understand pain points, decompose ambiguous problems, and ship elegant, pragmatic solutions at speed. If you’re the kind of person who treats every broken process as a challenge to be fixed with software—and if you get excited about how AI is reshaping sales and marketing—you’ll thrive in this role.As an AI Automations Engineer, you can expect to:Own the design and implementation of internal tools and infrastructure that directly support our revenue teams.Build AI agents to automate processes, surface insights, and integrate data across multiple tools and resources. Partner with strategy and operations teams to deeply understand the customer and sales lifecycle, then automate, optimize, and reimagine it with code.Own & launch experiments to identify new ways to scale and optimize ElevenLabs operations, and drive their development and implementation.Design and deliver technical enablement that makes insights actionable across the ElevenLabs teams, through education, tooling, and streamlined workflows.Be a force multiplier: rapidly prototype and deploy full-stack features that have immediate business impact.RequirementsWe’re looking for exceptional engineers who are passionate about building technical systems that scale. You might be a technical start-up cofounder or a fullstack engineer who is dying to build more with AI. If this article sounds fun to you, you’re probably a good fit.Strong full-stack engineering skills: you’re comfortable moving across frontend, backend, and infrastructure as needed. Minimum requirements: Python, SQL.Builder mindset: you move fast, work independently, and don't wait for perfect specs—you uncover them through action. You have a talent for spotting patterns, identifying opportunities to automate or standardize, and translating them into scalable solutions.Deep product intuition: you think in terms of systems and workflows, and care about the business impact of what you build. You enjoy designing & building tools that empower internal teams to move faster and operate more independently.Passionate about AI: you’re eager to explore how AI can transform B2B sales, marketing, operation, and finance. You have experience working with data, AI agents, LLMs, prompting, and common integration patterns across tools and systems. #LI-Remote

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AI Deployment Engineer (Pre-sales to postales)About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have a 40 person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different – the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer’s org. What You’ll DoPresales partner. Jump on discovery calls, white-board integrations, and explain Bland’s unique features (and ability to drive value) when speaking with product and engineering leaders. You’re working directly with an AE to sell Bland – and to scope an implementation timeline and plan. Own implementation start-to-finish. Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has “Bland tone” and feels human. Coordinate stakeholders. Engineers, product, operations, and anyone else who’s involved with implementation—you’ll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate. You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer’s team to build excitement and demonstrate the progress you’re driving. Expand the footprint. By embedding yourself in the customer’s organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-Have Qualifications3-7 yrs in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production. Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together. Track record of relentless ownership—moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Clear communicator who can translate LLM quirks - and the specifics of how Bland works – to everyone on our customer’s team (at the right level of complexity for your audience). Ready for the intensity of a fast-growing, early-stage startup—the work is hard, the pace is high. This is not a big tech job. You’re joining Bland because you want to push yourself, you’re ambitious, and you care about doing great work. Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture. Nice-to-HavesBuilt side-projects or shipped production features with LLMs. Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering  outcomes and was customer facing. Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you’re flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply. You’ll Thrive Here If…You’re smart, relentless, and love working with customers You’re organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it’s something you enjoy). You care about the craft and about our customers’ customers – all our phone agents should sound truly human and have “Bland tone” – they should not sound like a corporate robot or like a phone tree.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEWe’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Model Performance team:Baseten Embeddings Inference: The fastest embeddings solution availableThe Baseten Inference StackDriving model performance optimizationRESPONSIBILITIESCore Engineering ResponsibilitiesDesign and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routingWrite and optimize code using CUDA, PTX assembly, and architecture-specific techniquesApply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlapPerformance & InnovationImplement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlapIdentify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch ProfilerCollaborate with research teams to productionize theoretical advancementsImpact & CollaborationContribute to internal and open-source GPU librariesPresent technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)REQUIREMENTS1–5 years of experience in CUDA developmentStrong understanding of GPU architecture and programming paradigms:Memory hierarchy (global, shared, registers, L1/L2 cache)Thread/block/grid organizationSynchronization techniques and race condition mitigationProficient in C++ and GPU performance profiling toolsKnowledge of:CUDA C++ APIMemory access patterns and bandwidth optimizationNumerical precision and quantization strategiesModern GPU features (e.g., tensor cores, async operations)NICE TO HAVEExperience with Transformer models and attention optimization (e.g., Flash Attention)Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUBBackground in GEMM tuning and distributed/multi-GPU computeContributions to open-source GPU projectsResearch publications or conference presentations on GPU performanceBENEFITSCompetitive compensation package (Flexible PTO, 401k, covered healthcare premiums).This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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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 OverviewThe Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development.What you’ll do:Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance.Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.Publication: Publish research findings in leading conferences and journals.Platform Evaluation: Evaluate existing models and identify areas of improvement.Flexibility: Work with various models, including text and multimodal models, and both open and closed models.Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.What you’ll bring:Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Initiative: A self-starter who can work independently and take ownership of initiatives.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: $100,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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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: The Solution Engineer role sits within the GTM organisation within the EMEA region; making you a trusted technical advisor of the local sales team, our partners, and our customers. You will work on many exciting projects with some of the most future-forward organisations; helping to guide the beginning of their Generative AI journeys. At Glean, our Solution Engineers work with our customers to help them connect Glean to their most important decision-making platforms. These platforms include Microsoft 365, Google Workspace, Jira, Confluence, Slack, GitHub, Zendesk, and everything in between! As an SE, you will work closely with our local Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities.  You will: Performing interactive demonstrations of the Glean platform to prospective customers. Educating the technical teams of our prospective customers on the architecture of the Glean platform. Specifically, articulating the “how” of how our solution works in the context of the customer landscape. Scoping and executing sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated. Educating and training our customers and partners on our product to ensure that they are set up for success. Presenting at company sponsored events such as Google Cloud Next and AWS re:invent. Liaising with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap. About You: You will have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).  At least 5+ years experience in enterprise software pre-sales and have used value-based discovery frameworks. You possess excellent analytical and problem-solving skills with the ability to handle complex technical challenges. You are able to explain complex technical concepts in layman’s terms to help educate and train our customers, prospects, and partners. You are comfortable presenting, both virtually and in-person, Familiarity with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure. Familiarity with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC. Familiarity with APIs including sending and receiving data from API endpoints, and how to troubleshoot issues Familiarity with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies. Location: London (The role is remote) 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. #LI-REMOTE

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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.The RoleAs a Strategy & Growth Executive , you will partner directly with CEOs and C-suite executives to drive AI-led transformation for the world's most influential companies. You will identify high-impact AI opportunities, shape billion-dollar strategic initiatives, and lead executive-level engagements that drive measurable competitive advantage. This is a high-impact, high-visibility role that demands exceptional strategic thinking, robust relationship-building skills, and expert level deal execution. You will be at the forefront of shaping the future of AI adoption at scale—from identifying transformation opportunities to closing large-scale strategic partnerships.Key ResponsibilitiesExecutive Advisory: Provide guidance to CXOs on AI-driven competitive strategies and enterprise transformation.Opportunity Creation: Proactively identify opportunities, shape, and drive AI-led business transformations that unlock revenue streams and generate substantial enterprise value.CXO Engagement: Establish and maintain deep, trusted relationships with executive leaders.Strategic Deal-Making: Lead negotiations, and close $XXmm+ partnerships that create $XXXmm+ impact.Market Intelligence: Monitor AI adoption patterns, emerging enterprise trends, and industry shifts to inform strategic decisions. Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, company ethos, and mission.Qualifications & ExperienceProven success in leading and delivering a $XXmm+ strategic initiative.Experience advising Fortune Global 1000 executives or political leaders, showcasing your ability to navigate high-stakes decision-makingA strong desire to work closely with technologists and actively seek and integrate constructive feedback.Deep understanding of AI technology or of enterprise transformation – ideally both.Exceptional storytelling and communication skills to effectively influence diverse audiences.Demonstrated resilience, adaptability and a passion for innovation in dynamic environments.  Why Join Us?Shape the Future: Lead AI transformations that will re-define the next century’s most influential companies.Pick and Build the Winners: Work with top enterprises to identify, transform, and scale the winners of the AI Economy.Operate at the Highest Level: Engage directly with CEOs and C-suite executives to drive billion-dollar impact.High-Growth, High-Upside: Be a key player in a hyper-growth startup backed by the best in AI and enterprise, with a tremendous upside.Elite Team, Mission-Driven Culture: Work with top AI talent that emphasizes high-impact, deep-ownership and a shared mission for excellence..

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About the TeamThe Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.About the RoleAs a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.Improve performance, resilience, and scalability of core services that power customer-facing applications.You might thrive in this role if you:Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamAt OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the RoleWe are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains.   In this role, you will:Own the full product development lifecycle for new people products end-to-endTalk to internal stakeholders to understand their problems and design solutions to address themWork with the research team to share relevant feedback and iterate on applying their latest modelsCollaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like:4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companiesFormer founder, or early engineer at a startup who built a product from scratch is a plusInterest in building company culture and/or recruiting the world’s most talented peopleProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlinesAbout 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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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.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.   What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).   What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 5+ years of industry experience in ad tech, with a focus on performance optimization. Proven experience in applied machine learning, especially in CTR prediction, recommendation systems. Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering. Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).   #LI-AK1

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About the Role:We’re launching a new venture in Generative AI and are seeking a founder-in-residence to lead it from concept to company. If you're a builder with technical GenAI experience and a track record of building  products from 0 to 1, this is your opportunity to shape a venture at the ground floor. As the Founder-in-Residence, you’ll set the product vision, lead the technical execution, and serve as the face of the company. This role requires a unique mix of deep technical expertise, product intuition, business execution, storytelling, and leadership. Who We Are:AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that co-founds companies alongside entrepreneurs, and we  build companies from inception to market launch. Founded in 2017 by Dr. Andrew Ng, the $370 million-dollar funded venture studio is backed by top-tier VC firms and investors, and brings to bear the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and builders.  Why Partner With AI Fund:We’ve been there. We’ve founded and scaled successful companies ourselves, and we know that creating meaningful startups is really hard. We accelerate the company building process. Coming up with great ideas, turning the idea into a tangible product, assembling great teams, and helping raise capital is what we do. We shorten a process that can take years down to months.  We make sure you are building a compelling product supported by great AI technology,  and are surrounded by great teammates. But we also know that the process is not about us. It’s about great Founders and empowering them to do great things. What We are Looking for:Technical Expertise:Hands-on experience building and deploying GenAI or ML-powered applications (e.g., ones involving components such as LLMs, agentic workflows, reasoning systems, chatbots, evals, etc.) )Full-stack engineering understanding with a grasp of scalable, cloud-native application architecture.Ability to architect and ship complex systems across frontend, backend, and infrastructure.Product & Startup Experience:Proven track record of building 0→1 products.Experience navigating ambiguity, iterating quickly, and building products from scratch.Team Leadership: Experience building, managing, or scaling high-performing teams.Strong leadership presence with the ability to inspire, align, and influence cross-functional teams.Go-to-Market Skills:Strong customer empathy — actively seeks out user feedback and integrates it into product decisions.Understanding of market dynamics and competitive positioning.Comfortable collaborating with sales, marketing, and GTM teams to shape product strategy and messaging Bonus Points For:Experience presenting to investors or participating in capital raises.Deep knowledge or strong familiarity with our target industry (e.g., renewable energy, infrastructure, compliance, etc.).Previous co-founder or founding engineer of VC-backed software company. Characteristics We Value:Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity. Leadership: able to influence others to follow you and lead the team to a brighter future. Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.

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About the Team:The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role:We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.In this role you will:Design, build, and operate high-performance distributed systemsIdentify and resolve performance bottlenecks to scale infrastructure to the next order of magnitudeDefine long-term technical direction and guide system evolutionCollaborate with product, engineering, and research teams to deliver scalable and reliable infrastructureDig deep into complex production issues across the stackContribute to incident response, postmortems, and best practices for system reliabilityYou might thrive in this role if you:Have significant experience building, scaling, and optimizing distributed systems at scaleAre curious about database internals, storage engines, or low-latency query systemsEnjoy debugging challenging performance issues in complex, high-throughput systemsThink rigorously about scalability, correctness, and reliabilityThrive in fast-paced environments with high autonomy and impactQualifications:4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech leadExperience with distributed systems at scale, with a strong focus on performance, reliability, and scalabilityStrong communication skills and ability to collaborate across highly technical and cross-functional teamsProficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferredDomain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not requiredAbout 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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About UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, 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.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.OverviewWe are seeking an experienced Pharmaceutical Safety Medical Doctor with a proven background in health technology to join our cross-functional team as a Contract Medical Safety Expert. This role is central to developing and validating an AI-powered adverse event (AE) detection engine that can accurately identify and categorize FDA-reportable events from unstructured and structured medical data.This contractor will play a key role in helping Hippocratic AI create a robust system that meets regulatory standards and clinical expectations while working at the intersection of pharmacovigilance, clinical safety, and cutting-edge artificial intelligence.Key ResponsibilitiesSubject Matter Expertise: Provide expert clinical and regulatory guidance on pharmacovigilance, especially around US FDA requirements for AE reporting and MedWatch compliance.AI Model Development Collaboration:Partner with the AI/ML and Clinical Informatics teams to design annotation schemas and decision logic related to AE identification.Define clinically validated criteria to distinguish reportable vs. non-reportable events.Contribute to the design and refinement of classification taxonomies for adverse events, seriousness, and expectedness.Quality & Safety Oversight:Review model outputs and participate in error analysis of AI-generated AE classifications.Help define “safe fail” protocols for uncertain or ambiguous cases.Data Strategy Support:Inform data collection strategies and guide labeling/annotation efforts for adverse event corpora.Collaborate on test sets that simulate real-world AE reporting cases across various therapeutic areas.Regulatory Alignment:Ensure compliance with FDA pharmacovigilance standards (21 CFR Part 314, ICH E2A/E2D, etc.).Liaise with internal quality and regulatory stakeholders to audit model readiness for future deployment.Stakeholder Communication:Summarize clinical safety perspectives for cross-functional leadership and potential external partners.Contribute to documentation supporting FDA or regulatory body interactions, if required.Required QualificationsMD (Doctor of Medicine) with board certification strongly preferred.5+ years of experience in pharmacovigilance or drug safety within a pharma, biotech, or CRO environment.At least 2 years of experience collaborating with or working at a health tech or AI/ML-focused company, ideally involving clinical data or regulatory technology products.Strong familiarity with FDA AE reporting requirements, MedDRA, and ICH E2B guidelines.Clinical expertise in therapeutic areas such as primary care, internal medicine, or neurology is a plus.Experience working with or reviewing outputs from NLP/LLM or AI-based systems is highly desirable.Exceptional attention to detail, with a strong sense of clinical judgment and ethical responsibility.Nice to HaveExperience with AI model validation or human-in-the-loop review systems.Familiarity with tools like MedDRA, WHODrug, Argus Safety, or other AE signal detection platforms.Prior involvement in developing medical ontologies or rule-based decision frameworks.CompensationCompetitive hourly or monthly consulting rate (commensurate with experience).Flexible schedule with expected 10–20 hours/week depending on project phase.***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 appears suspicious, stop engaging immediately and report the incident.

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About the Team:OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Data Center Engineering team is at the core of this mission. This team sets the infrastructure strategy, develops cutting-edge engineering solutions, partners with research teams to define the infrastructure performance requirements, and creates reference designs to enable rapid global expansion in collaboration with our partners. As a key member of this team, you will help design and deliver next-generation power, cooling, and hardware solutions for high-density rack deployments in some of the largest data centers in the world. You will work closely with stakeholders across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life.About the Role:We’re seeking a seasoned data center R&D engineer with extensive experience in designing, performing validation testing, commissioning, and operating large-scale power, cooling, and high-performance computing systems. This role focuses on developing and validating new infrastructure and hardware, including high-voltage rectifiers, UPS systems, battery storage, transformers, DC to DC converters, and power supplies. The role will lead the design and buildout of a hardware validation lab, create detailed models and test procedures, and ensure hardware compatibility across edge-case data center operating conditions. Additionally, the role involves working closely with hardware vendors to assess manufacturing test protocols, throughput, and liquid-cooled GPU rack performance. A strong foundation in technical design, operational leadership, and vendor collaboration is critical, with an opportunity to lead high-impact infrastructure programs.You Might Thrive in this Role:Oversee electrical, mechanical, controls, and telemetry design and operations for large-scale data centers, including review of building and MEP drawings across all project phases from concept design to permitting, construction, commissioning and production.Develop, test and implement operational procedures and workflows from design through commissioning and deployment.Perform validation testing of all critical equipment and hardware in partnership with equipment vendors and ODMs.Lead buildout of R&D lab, including equipment selection, test infrastructure for high-density liquid-cooled racks, and staffing plans.Select and manage engineering tools (CAD, CFD, PLM, PDM, electrical, mechanical, power/network management).Collaborate with external vendors to select, procure, and manage critical infrastructure equipment (e.g., UPS, generators, transformers, DC to DC converters, chillers, VFDs).Ensure seamless integration of power, cooling, controls, networking, and construction systems into facility design.Provide technical direction to teams and vendors, ensuring safety, quality, and compliance with local codes, standards and regulations.Manage vendor relationships and ensure adherence to safety, performance, and operational standards.Qualifications:20+ years of experience in data center design, operations, and critical systems maintenance.Proven leadership across design, commissioning, and operation of large-scale data center campuses.Deep expertise in infrastructure systems (power, cooling, controls, networking) and operational workflows.Hands-on experience with critical infrastructure equipment and testing protocols.Strong track record in lab development, equipment selection, and facility operations.Familiarity with engineering tools (CAD, CFD, PLM, etc.) and their integration across teams.Experience navigating regulatory environments and working with government agencies.Excellent cross-functional communication and stakeholder collaboration.Bachelor’s degree in engineering required; advanced degree and PE certification preferred.Preferred Skills:Expertise in equipment design, agency certification, and validation testing.Experience in global, matrixed organizations and multi-site operations.Skilled in vendor negotiations and supply chain management.Familiarity with sustainable and energy-efficient data center design principles.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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamWithin the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.About the RoleAs an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.This role is open to remote employees, or relocation assistance is available to San Francisco.In this role, you will:Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.Monitor internal and external systems for security threats and respond to alerts.Contribute to and enforce our company's IT and Security policies and procedures.Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.You might thrive in this role if you have: Experience in protecting and managing macOS fleets.Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).Knowledge of modern adversary tactics, techniques, and procedures.Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction..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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamAt OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.In This Role, You Will:Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.You Might Thrive In This Role If You:Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamWithin the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.About the RoleAs an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.This role is open to remote employees, or relocation assistance is available to Seattle.In this role, you will:Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.Monitor internal and external systems for security threats and respond to alerts.Contribute to and enforce our company's IT and Security policies and procedures.Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.You might thrive in this role if you have: Experience in protecting and managing macOS fleets.Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).Knowledge of modern adversary tactics, techniques, and procedures.Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction..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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About UsSahara AI is a decentralized AI blockchain platform that prioritizes sovereignty and provenance of AI, ensuring security, equity, and accessibility for all users. Backed by top investors in AI and crypto, including Binance Labs, Pantera Capital, Polychain Capital, Sequoia Capital, Samsung, Matrix Partners, and many more, Sahara AI continues to push the boundaries of decentralized AI. Today, Sahara AI is trusted by 35+ leading tech innovators and research institutions, such as Microsoft, Amazon, MIT, Motherson Group, and Snap. Learn more at saharalabs.ai.Our VisionTo create a future where AI is open, transparent, and accessible to all through democratizing access to AI resources and ensuring sovereignty of AI assets.Our ValuesImpact First, No ExcusesThink Big, Act Fast, Every Day is Day 1Speak Up, Build BetterIntegrity Always, Zero CompromiseOwn it, Raise the BarResilience Wins the RaceRole ResponsibilitiesLead the launch of the global Ambassador Program and manage the day to day operationsWork with Community Lead to create and implement iterative scaling strategy aligned with business objectives and goalsRecruit, onboard, develop, and retain a diverse and impactful group of ambassadors to expand audiences, awareness, community engagement and build global cultureWork with Marketing and Ecosystem teams to design and execute impactful campaigns and programs that align with business objectives and goalsDevelop and hone successful incentive plans, management systems and strategies for ambassadorsManage and track deliverables, performance/KPIs, and ROI using data centric tools and systems to drive meaningful insightsCollaborate with Marketing to shape and promote content, ensure seamless brand and product storytelling, and create content repositories and resourcesRepresent the organization at in-person and virtual eventsBasic Qualifications3+ years professional tech community experience, and 1+ years managing ambassador programsBackground in Web3 and/or GamingExcellent people management and networking skills; familiar with how to recruit and manage creator/influencer typesHighly organized and data driven, with exceptional project and program management abilitiesProfessionally fluent with a variety of social platforms and community toolsPreferred QualificationsIdeal candidate has PLG experienceWhat We Offer🤖 | Shape the future of AI and Blockchain with a global team of industry experts⚙️ | Work closely with pioneering AI companies and startups💰 | Competitive compensation🏥 | Medical, Dental, and Vision benefits and vacation time💻 | Opportunity for career growth and high impact

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About the TeamOur infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale.About the RoleAs a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.Develop forecasting and optimization models to support infra planning and resource allocation.Partner with engineering, research, and product teams to shape infrastructure strategy through data.Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.You might thrive in this role if you have:5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research orgExperience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground upA strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisionsExcellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholdersA strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffsYou could be an especially great fit if you have:Proven track record of operating as a data partner in large scale backend systemsComfortable navigating fast-paced execution while also anchoring decisions in long-term impactStrong programming background, with ability to run simulations and prototype variantsExperience in NLP, large language models, or generative AIAbout 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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About the TeamThe Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.About the RoleWe are looking for a Software Engineer with experience developing secure backend systems that prioritize customer data protection. This role is ideal for someone who is deeply committed to the nexus of product development, security, and privacy.This position is located in San Francisco. Relocation assistance is available.In this role, you will:Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.Coordinate and actively participate in privacy incident response efforts.You might thrive in this role if you:Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set.Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance.Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success.Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.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.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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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!Why this role?As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).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.