5 jobs found in Oakland, CA

About the Team Our 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 Role As 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...

About the team OpenAI's Forward Deployed Engineering (FDE) team partners with global pharma and biotech, CROs, and research institutions to deploy production-grade AI systems across the R&D value chain. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments. About the role As a Life Sciences FDE Manager, you'll lead a team of FDEs delivering production AI systems across drug discovery and development workflows. You'll own delivery outcomes and team leverage while staying hands-on as a player-coach. This includes building and shipping alongside the team, setting technical direction, and maintaining a high bar for production-grade systems in regulated environments. We measure success through the health and quality of your FDE team, production adoption and measurable workflow impact, the quality of eval-driven feedback...

About the job User Interface Developer (Hybrid UX Engineer / Interactive Systems Developer) User Interface Developer (Hybrid UX Engineer / Interactive Systems Developer) Compensation: $150K-$250K base + equity (no bonus) Location: San Francisco, CA Hiring Target: 1 Work Policy: 5 days/week in-office Sponsorship: Visa transfers supported (not open to OPT) Stage: Seed-stage surgical robotics company | $14M raised Who Are We? Were building autonomous surgical robots designed to dramatically shorten the learning curve for complex procedures. By combining robotics, ML, computer vision, and intuitive human-machine interfaces, were redefining how surgeons interact with advanced surgical systems. Our mission is bold and tangible: make high-quality surgical care more accessible worldwide by lowering the technical barrier for surgeons. Were well-funded, commercially progressing, and building a team that blends creativity with deep technical execution. What's in It for You? Work on...

About the Team The Consumer Products Research team is an Applied Research team focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Research Engineer/Scientist on the Consumer Products Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role you will: Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices. Develop novel architectures that improve model performance when scaling the models themselves is not an option. Run through the necessary walls to take nascent research capabilities and turn them...

About the Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond. You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication. This position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available. The Vision Build causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV. Design customer "happy paths" by identifying adoption journeys that maximize lifetime value while...