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

The Machine Learning Engineer will enhance ML systems and platform engineering, focusing on model deployment and mentoring junior engineers to optimize video-language modeling.

Design and build core infrastructure for AI SaaS platform, optimize cloud systems for performance and security, and collaborate with teams.

The Director of Product Marketing will craft narratives for AI solutions, engaging various audiences, drive product launch strategies, and translate technical products into compelling messages.

The Head of Business Operations will develop strategies for business operations, manage teams, lead cross-functional initiatives, and facilitate company-wide planning processes.

The Director of Technical Program Management will lead cross-functional initiatives, ensure execution and alignment across teams, and build a high-performing TPM team.

The Engineering Manager, Machine Learning will lead the ML systems and platform engineering efforts, mentor a team of engineers, and drive strategic planning and execution for innovative AI solutions.

The Lead Research Scientist drives video understanding and multimodal learning research, leading finetuning projects and collaborating on AI model development.

The role involves advancing ML systems, building APIs, mentoring engineers, and ensuring high code quality and engineering practices.

Design and implement scalable backend architecture for AI-driven video workflows, build video processing pipelines, and optimize storage for concurrent users.

As a Full Stack Engineer, you'll design and develop scalable backend systems and responsive frontend applications, collaborating with cross-functional teams while adhering to security standards for government deployments.