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

As a Forward Deployed Engineer, you will lead government AI model deployments, design full-stack systems, and ensure successful integrations and relationships with public sector stakeholders.

The role involves porting and validating workloads on new platforms, creating benchmarks and stress tests, and improving performance in AI systems.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

Design, implement, and debug core platform software components, focusing on performance, security, and system debugging to deliver production systems.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

Partner with enterprise customers to define AI strategy, prototype and productionize Generative AI applications using OpenAI APIs. Provide technical guidance, design enterprise architectures, manage stakeholder relationships, scale best practices, contribute to open-source resources, and deliver product and research feedback.

Lead the execution of CPU, Storage, PoP, and WAN infrastructure programs managing complex deployments and technical dependencies to unlock OpenAI's compute capacity.

Build end-to-end, AI-powered consumer experiences across frontend, backend, and real-time personalized systems. Prototype and ship multimodal interfaces combining text, images, and interactive UI components. Collaborate with design, research, product, and model teams to iterate using user feedback and metrics while defining architecture and engineering standards.

The SOC Architect will define and develop custom AI silicon architectures for edge applications, optimizing performance and efficiency while collaborating with internal and external teams.