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

Design, develop, and optimize platforms for machine learning initiatives. Collaborate with teams to create a self-service ML ecosystem and refine UX/UI patterns across products.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.

The Tech Lead will lead product development for Speechify's web products, ship production code, and collaborate closely with product teams.

Design, develop, and maintain backend services and APIs for Speechify, focusing on performance, scalability, and user experience while collaborating with cross-functional teams.

As an AI Infrastructure Engineer, you will build and optimize ML platforms, ensure best practices in model management, and collaborate across teams to enhance AI solutions.

As an AI Infrastructure Engineer, you will build and scale ML infrastructure, develop MLOps tools, optimize performance, and collaborate with cross-functional teams. The role requires experience in software engineering and cloud services.

The role involves owning major features of the Android app, improving reliability metrics, collaborating with teams, and ensuring high-quality feature delivery.

As a Tech Lead, you'll ship production code, collaborate with product teams, and shape the product roadmap to create impactful features for users.

The Tech Lead will collaborate with researchers and engineers to deploy and manage AI Voice services, optimize ML models, and improve system performance.

The Software Engineer will work with ML researchers to deploy AI voice models, enhance performance, and resolve service issues.