Top Data Engineer Jobs in San Francisco, CA
The Machine Learning Engineer will be part of Cash App's Risk ML team, working on identity verification and fraud detection using machine learning methods and systems. Responsibilities include reducing inauthentic identities, mitigating risk/fraud for the Cash Card product, and collaborating with cross-functional teams.
As a Senior Business Intelligence Engineer at Cash App, you will create and optimize data models for Customer Support, build frameworks for ETL reliability, mentor team members, and promote data best practices. You will work with a variety of technologies to enable impactful business decisions through data architecture and dashboarding.
As a Senior Business Intelligence Engineer at Cash App, you will work on creating and optimizing data models, building pipelines, and promoting data best practices. The role requires 5+ years of experience in building complex ETLs and proficiency in SQL, Airflow, and Python.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
Leading the Data Analytics team within the risk analytics function of a next-generation financial services company. Developing and implementing a comprehensive data analytics strategy aligned with risk management objectives and providing insights to support risk oversight and decision-making.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
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Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define AI strategy, implement use cases, solicit requirements, build models, and teach business teams.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define AI strategy, implement use cases, build predictive models, and teach business teams how to leverage them for decision-making.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering machine learning models that address real-world business challenges. You will collaborate with cross-functional teams to enhance big data and machine learning applications, maintain models in production, and leverage cloud-based technologies for optimized scalability. Additionally, you will ensure code quality, model governance, and adherence to responsible AI practices.
As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, stay updated on latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, deep neural network expertise, strong coding skills, and a degree in Machine Learning, Math, Physics or similar.
Design, architect, and maintain Upgrade's Data Warehouse to support data and analytical needs for financial products. Build data pipelines, set up data management tools, develop key metrics and reports.
Senior Machine Learning Engineer role at Instacart focusing on utilizing machine learning to address critical issues in marketplace systems such as routing optimization, pricing, dispatch, and mapping. Responsible for designing, developing, and deploying ML solutions in collaboration with cross-functional teams to meet business goals.
Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.
The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.
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