Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead and operate OpenAIs Incidents & Escalations function: act as incident commander on-call, triage alerts, coordinate cross-functional responders, drive communications, run post-incident retrospectives, track corrective actions, improve playbooks and tooling, and build durable operating models to reduce repeat issues and improve readiness.

Design and run empirical experiments to measure and improve chain-of-thought and model monitorability. Build evaluations and monitoring methods, analyze model behavior, investigate training interventions, translate findings into oversight and training recommendations, collaborate across research and engineering teams, and publish results that advance alignment science.

Design and build systems that automate and accelerate research workflows: evaluations, data and evaluation flywheels, agent harnesses, RL environments, experiment orchestration, sandboxed runtimes, integrations with research infrastructure, and metrics to measure research productivity and safety.

Design and build end-to-end learning product experiences inside ChatGPT across frontend and backend. Implement multimodal capabilities (text, images, voice), develop scalable services and APIs, collaborate with PMs, designers, and researchers to integrate model capabilities, iterate via experimentation and user feedback, and improve performance, reliability, and usability of learning features.

Manage design and implementation planning for ML acceleration chip hardware. Lead scheduling with strategic partners/vendors, coordinate internal resources, and drive cross-functional delivery from concept through data-center deployment.

The role involves developing and scaling Codex for enterprise use, focusing on product evolution, system reliability, and customer engagement. Responsibilities include building secure systems, leading real-world deployments, and creating enterprise capabilities for operational improvements.

Develop and enhance software tools for hardware engineers, including compilers, simulation, and automation systems, while collaborating with design teams to improve hardware workflows.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

Design and maintain infrastructure for large-scale multimodal training and evaluation. Collaborate with researchers to build reliable distributed data systems.

Design and debug software for embedded devices, working closely with hardware teams to optimize performance and deliver reliable systems.