General Motors is seeking a Staff ML Systems Engineer to join their team working on cutting-edge machine learning infrastructure. This role focuses on building and supporting a petabyte-scale data platform in the cloud, providing foundations for GM's ML Data Platform tools, frameworks, and services. The position offers an exciting opportunity to work at the intersection of automotive innovation and machine learning, contributing to GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion.
The successful candidate will lead the development of next-generation ML data processing platforms, working with technologies like Beam and Spark in the cloud. They'll be responsible for ensuring scalable data ingestion, management, and processing tools that serve the entire company. This role combines technical leadership with hands-on engineering, requiring expertise in distributed systems, ML infrastructure, and cloud technologies.
The position offers competitive compensation ranging from $165,000 to $298,800, plus performance bonuses and comprehensive benefits including health insurance, 401k, and unique perks like GM vehicle discounts and a company vehicle program. The role is hybrid, requiring presence in either Austin, Mountain View, or the Greater Seattle area three times per week.
This is an excellent opportunity for experienced engineers passionate about scaling ML systems and interested in transforming the automotive industry through technology. The role offers the chance to work on complex technical challenges while contributing to meaningful innovations in transportation and mobility.