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

This role involves analyzing inference performance, building models, and optimizing systems for better latency and cost efficiency.

As a Full Stack Software Engineer, you will drive growth initiatives for ChatGPT through data analysis, product ideation, and API development, while collaborating with diverse teams to enhance user experiences.

The role involves driving strategic and operational initiatives in customer support, collaborating with various teams to enhance customer experience and optimize operations, with a focus on leveraging AI.

Profile, benchmark, and optimize embedded hardware product performance across OS, application, camera/vision, graphics, and platform stacks. Build benchmarking methodologies and tooling, define KPIs and measurement frameworks, investigate field regressions, and partner with cross-functional teams to drive performance improvements from lab characterization through product launch and real-world usage.

Build and own full-stack features for ChatGPT Finances, from frontend experiences to backend services and data models. Design secure APIs, resilient integrations, and AI-driven, grounded conversational financial capabilities. Ensure performance, accessibility, observability, and system reliability while collaborating across product, design, infrastructure, security, and data teams.

Lead sourcing strategies to identify and engage top-tier engineering talent, build and maintain pipelines of passive candidates, collaborate with hiring managers, use advanced sourcing tools, represent OpenAI at events, and maintain candidate data and metrics to inform hiring.

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.

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.