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

Design and implement machine learning models to prevent fraud and mitigate risk in Cash App, collaborating across teams to ensure effective solutions.

Design and implement machine learning models to mitigate fraud and risks, ensuring compliance and working closely with cross-functional teams.

As a Principal Machine Learning System Engineer, you will develop infrastructure for ML models, tackle architectural challenges, and lead projects at Atlassian's Central AI team.

The Research Scientist will develop new Latent Space Models for voice AI to address data, scale, and cost challenges, focusing on neural codecs and generative modeling for diverse human speech synthesis and understanding.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.

Lead AI strategy and research team to develop cutting-edge AI technologies, integrating them into products while mentoring a talented team of researchers and engineers.

Lead research for generative modeling of molecular systems at Genesis AI, driving innovation and collaboration with engineers and biochemists, while mentoring junior staff and contributing to the research community.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.