Top Senior Level Machine Learning Jobs in San Francisco Bay Area

As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning engineers and data scientists. You will lead projects, collaborate with teams, and tackle complex challenges. The role requires 5+ years of experience and fluency in Java, Kotlin, and Python.

As a Principal Data Scientist at Capital One's Emerging ML team, you will work on developing machine learning models, conducting research on self supervised learning and transformer models, and analyzing customer behavioral data to improve financial experiences.

Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community

Build AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software and work on data acquisition and evaluation metrics for performance and quality at scale. Drive innovation in AI technologies for future work experiences.

Snap Inc is seeking a Staff Machine Learning Engineer with 8+ years of experience to create models driving value for users and the company, evaluate technical tradeoffs, perform code reviews, build scalable products, and iterate quickly with high quality. Strong understanding of machine learning approaches, ability to work independently, collaboration skills, and problem-solving capabilities are required. Knowledge of machine learning frameworks and system design experience are preferred qualifications. Bachelor's degree in a technical field is a minimum requirement.

As a Senior Engineering Manager of Machine Learning at Dropbox, you will lead a team of engineers to build and scale Dash, one of Dropbox's AI offerings. Your responsibilities include driving product monetization, fostering a collaborative culture, providing strategic direction, and contributing to technical and product strategies. The ideal candidate has a strong background in software engineering, distributed systems, and backend infrastructure, as well as experience in machine learning. This is a senior-level position requiring 7+ years of software engineering experience and at least 3+ years in direct management roles.

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.