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

As a Research Engineer, you'll fine-tune AI models, optimize performance, develop algorithms, and process data to enhance conversational AI experiences.

As a Research Engineer for ML Systems, you'll optimize GPU clusters for AI, develop advanced technologies for consumer AI models, and improve model training and inference performance.

The role involves supporting ML infrastructure, building diagnostic tools, managing deployments, and optimizing GPU utilization for ML projects.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

As a Software Engineer for monetization, you will optimize user-facing features for payments and subscriptions, collaborate on UI/UX, and analyze monetization metrics. A strong background in consumer products and modern front-end technologies is required.

Develop user-friendly interfaces, collaborate with design for optimal user experience, and maintain design consistency within the team.

As a Research Engineer, you will lead video model training, design multimodal generation architectures, and create data pipelines for AI visuals.

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.

The Staff Software Engineer will support research through tool and dataset development, enhance data pipelines, and manage data infrastructure while collaborating with ML researchers.

As an Applied ML Software Engineer, you will design and implement ML models, manage cloud infrastructure, and optimize backend systems for AI-driven content discovery and recommendations.