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

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

As a Staff Software Engineer, you will own the core systems for database architecture, caching, and performance optimization, ensuring reliable and scalable infrastructure for clinical workflows in healthcare. You'll design and implement systems to improve latency and reliability while managing multi-tenant data and compliance needs.

The Staff Software Engineer for Privacy will design and implement access controls, audit logging, and data retention systems to protect PHI in healthcare applications. Responsibilities include ensuring compliance with security regulations and developing scalable solutions for data privacy and lifecycle management.

Lead and execute end-to-end executive searches for the Office of the President and CEO: design search architectures, personally source and engage candidates, manage external search firms, build passive pipelines, deliver market intelligence, and drive closing motions in partnership with senior leadership.

Design and maintain platform infrastructure for healthcare providers, focusing on reliability and scalability. Own AI technical initiatives from design to deployment.

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

The AI-First Product Manager will transform internal workflows using AI, focusing on automation and efficiency across various functions while ensuring effective project execution and governance.

Engage in designing and maintaining core infrastructure for AI systems in healthcare. Lead product initiatives, ensuring high-quality coding and system reliability.

Design and maintain the core AI infrastructure, lead product initiatives, and ensure high-quality code while mentoring a team of engineers.

The Product Lead will own the core platform, focusing on reliability, scalability, and extensibility while overseeing onboarding and internal tooling to enhance clinician experiences. Responsibilities include driving platform quality and managing shared infrastructure for product lines.