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
Senior / Principal Machine Learning Engineer with the Creator Services NLP team at Roblox. Responsible for building NLP, speech, and generative AI models for creators to enhance user experience. Requires 5+ years of experience in ML engineering and shipping ML products, proficiency in Python and C#, and understanding of SQL at scale.
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.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in machine learning.
Senior Machine Learning Engineer role at Square's Measurement Machine Learning team. Responsible for developing cutting-edge ML models, building data science solutions, and collaborating with stakeholders for growth strategy and investment decisions.
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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.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Impact industries like agriculture, construction, transportation, and manufacturing.
Machine Learning Engineer supporting banking and lending business, building and deploying ML models, engaging with cross-functional teams, and contributing to product-focused modeling roles.
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.
The Senior Machine Learning Engineer II at Cruise is responsible for researching, developing, and optimizing machine learning algorithms for self-driving vehicles. The role involves being a technical leader, guiding technology choices, balancing tradeoffs, and enabling team members through effective design and code.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets, contribute to thought leadership, possess strong communication and critical thinking skills.
Designing and managing distributed services and pipelines for Underwriting & Credit at Cash App. Leading cross-functional projects, ensuring high code quality, collaborating with different teams, and mentoring engineers. Solving technical problems at scale and contributing to development capabilities.
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