Top 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.
Lead the design and implementation of Machine Learning systems for Roblox's Virtual Economy. Collaborate with product and design teams, mentor junior engineers, and contribute to the overall system architecture while ensuring the scalability of solutions for billions of transactions.
As a Senior Analytics Engineer at Lob, you'll develop data pipelines, build data models, and collaborate with various teams to enable data-driven decisions. You'll also champion data governance and mentor fellow engineers, ensuring best practices in analytics engineering.
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As a Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and implement ML models for on-device features, evaluate their performance, and collaborate with product teams to integrate these capabilities into user interfaces. You will leverage academic research to enhance the technology and launch models while responding to user feedback.
As a Principal Data Engineer, you will design and develop BlackLine's data platform, collaborate with teams to create and optimize data models and visualization solutions, and drive innovation. You will oversee application architecture, provide technical leadership, and ensure that data-driven decisions align with organizational goals.
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As a Principal Data Engineer at Atlassian, you will lead the development of scalable datasets and data pipelines, manage analytical data models across various business functions, and enhance data-driven practices within the organization. Your role includes optimizing data storage and retrieval, utilizing advanced analytics tools, and fostering a data-driven culture.
The Senior Machine Learning Engineer will work on productionizing machine learning applications, collaborating with Product and Data Science teams, designing ML models, automating tests, and deploying ML solutions in cloud environments. Responsibilities include maintaining models in production and optimizing data pipelines.
In this role, you will build cloud-based AI/ML solutions that enhance user experience and workflow efficiency for enterprise services. Collaborate with developers and product managers to deliver high-quality software, owning your code from design to delivery. Your expertise in AI/ML, algorithms, and object-oriented programming will drive innovations for enterprise customers.
The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.
Join Instacart as a Senior Data Engineer in Finance, where you'll build and maintain critical data pipelines for financial reporting. You'll work with SQL and Python, collaborate with various teams, and have significant ownership over processes while ensuring high-quality solutions are delivered swiftly.
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