Top Senior Level Machine Learning Jobs in San Francisco Bay Area

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.

Seeking an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large-scale initiatives, and participating in open source projects.

Designs, develops, and programs methods and systems to analyze big data sources and generate insights and solutions. Interacts with teams to identify data analysis questions and issues. Cleanses and integrates large datasets from multiple sources. Identifies meaningful insights and communicates findings to managers.

Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.