Top Machine Learning Jobs in San Francisco Bay Area

Design and implement cutting-edge machine learning algorithms for multimodal data to shape the future of AI-driven creation at Roblox

As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.

As a Machine Learning Engineer on the Banking & SFS team at Block, you will support Data Scientists in building and deploying machine learning models for banking and lending products. This role involves implementing modeling approaches, utilizing data science techniques, and collaborating with cross-functional teams.

Develop ML solutions to increase the safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams across ML, full-stack, and firmware to deliver core infrastructure and optimizations.

Lead a team of Machine Learning Engineers in developing ML solutions across marketing, product, and operations. Collaborate with cross-functional teams to build machine-learning based systems and guide strategic decisions in machine learning and data use.

As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.

Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets, contribute to thought leadership, possess strong communication and critical thinking skills.