Top Generative AI Jobs in San Francisco Bay Area, CA

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

As a Generative AI Consultant, you'll design and implement GenAI solutions, bridging technical teams and guiding clients on AI value implementation, including model fine-tuning and integration using MLOps best practices.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

Develop AI-powered experiences for tech users, focusing on chatbot integration and documentation platforms. Design, build, and improve API and content ingestion systems.

The Generative AI Engineer will research, design, and develop AI/ML solutions, focusing on large language models and cloud-native services.

The Senior Software Engineer will design and implement Generative AI solutions, collaborate with teams, enhance AI applications, and mentor others in best practices.

Design and build Generative AI applications, focusing on LLM solutions, while collaborating with cross-functional teams to translate business problems into AI solutions.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.

The Associate Director, Generative AI will lead AI product development within Gilead's commercial functions, focusing on governance and collaboration across teams while handling revenue forecasting and brand analytics in the pharmaceutical domain.

Design, implement, and train large-scale diffusion models for generating 3D worlds. Drive end-to-end model development including data curation, experimentation, evaluation, deployment, and collaboration with research, engineering, and product teams. Mentor colleagues and integrate cutting-edge generative AI research into production-ready systems.

Design and build AI-powered chatbot solutions, optimize performance, and integrate with various platforms using NLP techniques.

Develop and deploy AI-powered chatbot applications, design conversational flows, integrate with various platforms, and optimize performance.

As a Senior ML Engineer, you will lead the design and operation of GenAI solutions, focusing on LLM development and deployment, mentoring colleagues, and collaborating with cross-functional teams to enhance AI capabilities for the insurance sector.