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

Build and scale end-to-end machine learning infrastructure for computer vision and multimodal AI systems. Responsibilities include developing training and deployment pipelines, managing GPU cloud infrastructure, optimizing low-latency model serving, and establishing monitoring and evaluation frameworks for reliable production performance. The role partners with research, computer vision, and product teams to operationalize models across warehouse environments.

Lead end-to-end product-layer development: own frontend (Next.js/TypeScript) and API/application layer, define workflows and API contracts, implement CI/CD and automated tests, build customer-facing UIs and internal deployment tools, and collaborate with backend, SRE, product, and design to scale deployments across facilities.

Own and deliver end-to-end product workflows across frontend and API layers. Build customer-facing UIs (Next.js/TypeScript), maintain API/application layers (FastAPI/Python or similar), define API contracts, improve performance and reliability, implement tests and CI, and own authentication and system integration. Collaborate with product, backend, SRE, and design to shape product behavior and enable repeatable deployments across facilities.

Lead development of frontend (Next.js/TypeScript) and API/application layer (FastAPI/other). Design and implement end-to-end product workflows, build customer-facing UIs and internal deployment tools, define API contracts, improve performance/reliability, implement testing and CI, and own authentication and system integration across multi-facility deployments.