Staff ML Systems Engineer

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 maintaining a petabyte-scale data platform in the cloud, supporting GM's ML Data Platform tools and frameworks. 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 ideal candidate will bring 10+ years of big data experience and deep expertise in ML systems, particularly with Beam and Spark technologies. You'll be responsible for leading the development of next-generation ML data processing platforms, ensuring scalability, performance, and cost-efficiency. The role combines technical leadership with hands-on engineering, requiring both architectural vision and practical implementation skills.

Working in a hybrid environment across multiple locations (Austin, Mountain View, or Seattle area), you'll collaborate with cross-functional teams to build self-serve capabilities and robust data processing solutions. The compensation package is competitive, ranging from $165,000 to $298,800, plus comprehensive benefits including medical coverage, retirement plans, and unique perks like GM vehicle programs.

This is an opportunity to make a significant impact at a global automotive leader while working with cutting-edge ML technologies. The role offers both technical challenges and leadership opportunities, making it ideal for experienced engineers passionate about scaling ML systems and mentoring others. Join GM in their mission to transform mobility through advanced technology and innovation.