Top Machine Learning Jobs in San Francisco, CA

As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering machine learning models that address real-world business challenges. You will collaborate with cross-functional teams to enhance big data and machine learning applications, maintain models in production, and leverage cloud-based technologies for optimized scalability. Additionally, you will ensure code quality, model governance, and adherence to responsible AI practices.

As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, stay updated on latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, deep neural network expertise, strong coding skills, and a degree in Machine Learning, Math, Physics or similar.

Senior Machine Learning Engineer role at Instacart focusing on utilizing machine learning to address critical issues in marketplace systems such as routing optimization, pricing, dispatch, and mapping. Responsible for designing, developing, and deploying ML solutions in collaboration with cross-functional teams to meet business goals.

Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.

The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.

As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products, extract knowledge and insights from data, and transform the way teams collaborate. You will craft and implement machine learning models, analyze large datasets, design robust models, collaborate with cross-functional teams, and drive AI adoption. Compensation for this role ranges from $198,400 to $318,600 per year.

Quality Engineering role working on Machine Learning technologies, involving test automation, analyzing results, creating test plans, and supporting engineering organizations.