Top Remote Data Engineer Jobs in San Francisco Bay Area, CA
As a Senior Machine Learning Engineer, you will develop high-quality machine learning models that assess creditworthiness and collaborate with engineering teams to build decisioning systems. You will research innovative solutions and implement data pipelines essential for production models, contributing to Affirm's credit landscape.
As a Data Science Engineer, you will develop data processing pipelines, integrate complex datasets, optimize audience classification models, and collaborate with teams to drive business growth. You'll implement data governance, and support the design of automated ML services.
The Machine Learning Engineer will design and build advanced machine learning models for high-value inventory prioritization in Real-Time Bidding. Responsibilities include developing algorithms, enhancing ML infrastructure, conducting statistical experiments, and collaborating on data pipelines. The role requires expertise in machine learning and experience in software engineering.
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As a Senior Data Engineer, you will build and maintain data infrastructure to support Square's growth. You will design and implement data pipelines, work with various teams to integrate new data sources, and ensure accuracy in reporting. Your role will involve participating in on-call duties and improving data quality and efficiency.
Lead and contribute to advancing a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, mentor team members, and provide on-call support as needed.
The role involves collaborating with product managers, data scientists, and engineers to create data pipelines, design and deploy data warehouse solutions, and enhance data integrity and usability. Responsibilities include managing large datasets, developing pipelines using cloud technologies, and providing insights to support business decisions.
As a Manager of Software Engineering at SalesLoft, you will lead a team of Machine Learning engineers, focusing on the integration and scalability of Large Language Models. Responsibilities include developing processes, mentoring engineers, and collaborating with cross-functional teams to drive innovation and impact in ML capabilities.
As a Senior Machine Learning Engineer, you will design, develop, and deploy machine learning solutions to optimize routing, pricing, dispatch, and mapping. You'll collaborate with product managers and engineers to align ML applications with business needs and actively refine algorithms for operational efficiency.
The Machine Learning Engineer will design, build, evaluate, and deploy large scale ML systems at Dropbox, working closely with cross-functional teams and utilizing ML expertise to enhance user experience and tackle complex challenges. Responsibilities include evaluating system performance and participating in on-call rotations.
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As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.
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