Top Data Engineer Jobs in San Francisco Bay Area, CA

As a Principal Machine Learning System Engineer, you will develop infrastructure for ML models, tackle architectural challenges, and lead projects at Atlassian's Central AI team.

You will build AI applications to enhance small business efficiency, mentor engineers, and collaborate directly with Gusto's co-founder.

The Machine Learning Scientist will develop advanced ML models for NLP and analytics, collaborate with teams, and drive initiatives in machine learning applications.

The Principal Software Engineer will lead the development of scalable data platforms, driving innovation and collaboration across teams while mentoring junior staff and optimizing operations.

As a Big Data DevOps Lead, you will improve Big Data infrastructure efficiency, lead architecture efforts, and provide on-call support for production systems.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

Build and maintain a scalable AI data platform, collaborating with teams to ensure optimal data lifecycle management and infrastructure for machine learning applications.

The role involves building high-throughput data processing systems, managing cloud compute clusters, and developing web crawlers for AI training data.

As a Data Engineer at EDO, you'll build and optimize advertising data pipelines, analyze large datasets, and collaborate with Data Scientists to drive business decisions.