Top Hybrid Data Engineer Jobs in San Francisco Bay Area
Senior ML Engineer role at Grammarly's On-Device ML team, responsible for proposing, designing, and implementing strategic features using machine learning models in an on-device context. Collaborate with core product teams, launch and monitor ML models, and leverage academic research to advance technology.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products.
As a Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data-driven decision-making, enhance customer experiences, and optimize marketing campaigns.
The Security Governance Partner for Cash App Machine Learning and Data Science works with the teams that build machine learning pipelines and infrastructure, and data scientists to identify constraints and evaluate solutions. Responsibilities include acting as a security domain expert, collaborating across roles, automating governance functions, influencing technical architecture, and developing security standards and frameworks.
Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.
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Join GRAIL as a Staff Data Engineer to support data needs for clinical and research activities. Leverage automation and data engineering expertise to enhance data infrastructure and contribute to early cancer detection efforts. Hybrid role in Menlo Park, CA headquarters.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework, perform model training optimization, develop an AutoML platform, and provide technical direction for the company.
Lead a data engineering team, manage data infrastructure, align development strategies with business objectives, implement database systems and services, build scalable and fault-tolerant data systems, and ensure data security and performance. Experience with cloud platforms, performance monitoring, and video streaming services is a plus.
Seeking a Senior Staff Machine Learning Engineer with expertise in AI research to lead experimental projects optimizing large language models and enhancing model training strategies. The role involves publishing impactful research findings and contributing to the scientific community as a leader in AI research. Autonomous work, innovation in data curation, and continuous exploration of new methodologies are key aspects of this position.
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Join our AI team as an ML Engineer to incorporate AI technologies into our product and stay up-to-date with the latest trends.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
Senior Staff Software Engineer role focusing on building scalable machine learning systems and platforms at a next-generation financial services company. Responsibilities include architecting ML systems, collaborating with teams, designing software architecture, and contributing to a culture of innovation. Requires 6+ years of experience in technical field, proficiency in Python, Java, or C++, and experience with cloud platforms and scalable data processing.
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