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

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The AI Data Manager will design data annotation strategies, manage data pipelines, and collaborate with researchers to enhance AI models.

Recruit senior technical roles in Data Infrastructure and Machine Learning Engineering, collaborating with hiring managers and sourcing candidates from diverse platforms.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

As a Research Sourcer, you'll build talent pipelines for elite researchers in AI, engage with hiring managers, and enhance sourcing strategies.

The Product Manager will define the strategy for Dream Machine, oversee product development, and enhance user engagement for consumer-focused AI creative tools.

As a Technical Artist, you'll bridge research and application by architecting pipelines, fine-tuning models, and ensuring high aesthetic quality, collaborating closely with design and research teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.