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

As a Research Engineer, you will build and maintain data infrastructure to analyze AI's economic impact, collaborate with cross-functional teams, and ensure data integrity and privacy compliance.

As a TPU Kernel Engineer, optimize ML systems, design kernels for TPUs, and resolve performance issues. Collaborate with researchers to enhance performance metrics.

The Staff+ Software Engineer will lead backend systems for AI products, managing complex projects and driving product enhancements while optimizing performance and reliability for a global user base.

Lead strategy and execution for Anthropic's database infrastructure across cross-region, multi-cloud, and hybrid deployments. Own roadmaps, coordinate vendors and hyperscalers, manage risks and dependencies, produce program documentation, and facilitate technical decision-making to ensure highly available, 24x7 database services.

As a Software Engineer in the RL Data team, you'll build and optimize data collection pipelines, improve quality assurance frameworks, and collaborate with domain experts to enhance AI systems, focusing on reinforcement learning tasks.

The Technical Program Manager will oversee critical programs in compute infrastructure, facilitating coordination among research and engineering teams, ensuring efficient resource allocation and management.

Lead scaling and efficiency programs for Anthropic's API stack across API, infrastructure, databases, networking, and inference. Run multiple large cross-team programs, own cross-org dependencies end-to-end, establish decision-making clarity, surface risks and trade-offs to engineering leadership, and ensure programs deliver scalable, cost-effective API platform improvements.

Manage equity compensation strategy and operations globally, ensuring compliance and competitiveness while supporting employee understanding and global expansion.

Lead the UI Platform team to enhance reliability, performance, and developer experience for Claude.ai's consumer products, while managing and growing the team and improving tooling and systems.

As an Analytics Engineer, you will create scalable solutions for data reporting, build data pipelines, and establish high data integrity standards while collaborating with multiple teams.