Top Data Engineer 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.
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, specifically in marketing. Responsibilities include developing predictive models, analyzing marketing performance, and driving data-informed strategies for growth and monetization. Must have a deep understanding of consumer lifecycle analysis and SaaS operations.
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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.
Design and develop performant services and tools for data modeling and governance. Collaborate on query compilers and data pipelines. Serve as the data modeling expert, understand system architecture impact, and work in a distributed environment.
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.
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.
Design, implement, and scale data products to support data processing and analytical needs. Transform raw data into actionable insights, collaborate with cross-functional teams, and ensure data accuracy and availability.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with Engineering and Product teams, build elegant architectures, architect reusable components, and influence leadership with AI strategies and advancements.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable components for AI solutions and influence leadership on AI strategies and advancements.
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