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

As a Product Manager focused on biosecurity risk, you'll drive safety initiatives, develop product roadmaps, collaborate across teams, and create methodologies for safety evaluations.

As a Machine Learning Engineer, you will design and deploy models, collaborate with teams to solve business challenges, optimize performance, and maintain model effectiveness.

The role involves owning backend systems, improving performance, operating critical infrastructure, and collaborating with teams to enhance reliability in research environments.

Lead the development of scalable simulation environments using NVIDIA Isaac Sim, Unity, or Unreal Engine for robotics applications.

Lead the development of finance data infrastructure, focusing on scalable systems, automation, and data pipelines. Manage teams, design data workflows, and partner with senior leaders to enhance operational efficiency and compliance.

The role involves providing financial insights, guiding B2B financial planning, analyzing trends, building FP&A rigor, and managing budgets, while collaborating with senior B2B leaders.

The Research Engineer/Scientist will advance AI through innovative RL methods, focusing on training general-purpose agents and enhancing existing ML systems.

The Reliability/DFX Engineer will oversee DFX architecture and improve system reliability, working closely with teams on AI hardware design and implementation.

Design and implement dataset infrastructure to support training and inference pipelines. Collaborate with researchers and build scalable dataset APIs, while maintaining performance and reliability across systems.

The Simulation Realism Engineer will enhance realism in robotic simulations, develop engineering solutions, and collaborate across teams to improve simulation accuracy and reliability.