Top Data Engineer Jobs in San Francisco Bay Area
Senior Machine Learning Engineer II specializing in Perception at Cruise. Responsible for developing sophisticated ML algorithms for autonomous vehicles to interact safely with the environment. The role involves research, development, and hardware support to enhance road safety and vehicle technology at Cruise.
Data Engineer role at Dropbox responsible for building next-generation Financial data pipelines, curating Gold datasets, and providing data for Growth and Monetization. Requires strong foundation in test-driven development and building scalable data pipelines.
Senior Solutions Architect role within the Enterprise Technology function, responsible for shaping the strategy, architecture, design, and implementation of scalable solutions for the Data Intelligence team. Requires strong technical skills, business acumen, and the ability to lead presentations and mentor junior team members.
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Develop and maintain end-to-end data pipelines, backend ingestion, and participate in building Samsara's Data Platform for advanced automation and analytics. Work with various data sources including CRM and product data. Join a critical team within Business Technology focused on enabling integrated data layers and data-driven decision-making.
Join Square's Measurement Machine Learning team as a senior Machine Learning Engineer to develop cutting-edge ML models and algorithms for strategic decision-making. Work on data-driven attribution solutions and collaborate with various stakeholders to refine growth strategies.
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.
Looking for a Security Researcher to collect, monitor, and measure cybercriminal underground data. Must have experience in cyber threat intelligence, data analytics, and programming. Responsibilities include data analysis, tooling development, and collaborating with stakeholders.
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.
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.
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