Top Remote Machine Learning Jobs in San Francisco Bay Area, CA

You will build and maintain infrastructure for ML engineers, tackle complex architecture challenges, and lead projects from design to launch.

The Research Scientist will develop innovative Latent Space Models to revolutionize voice AI, addressing data and scaling challenges through new algorithm designs and architectures.

As a Senior Applied Scientist, you will build machine learning models, mentor teams, and optimize business processes across various teams at Coinbase.

The Senior Machine Learning & Computer Vision Engineer role involves developing computer vision models, researching AI methods, working with large datasets, and implementing MLOps best practices to enhance Dandy's 3D dental platform.

Develop and improve AI systems for patient and physician products, mentor team members, and conduct evaluations for ML features.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The Head of Applied AI will lead the AI strategy and research team, driving innovations in generative AI and deep learning, while managing talent and collaborating across teams.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Design and develop machine learning models, making architecture decisions, engaging in client interactions, and mentoring teams in a collaborative environment.

Design and implement machine learning models to enhance search relevance and improve the retrieval systems for a better customer experience.