General Motors is seeking a Senior Machine Learning Engineer to join their Data Search and Mining group, focusing on providing high-quality data for Foundational Drive Model's training and evaluation at scale. This role is part of GM's vision for Zero Crashes, Zero Emissions, and Zero Congestion.
The position involves working with cutting-edge Multi-Modality Models, VLM, and MLLM to deliver high-precision search and mining solutions for autonomous vehicle training and evaluation. You'll be responsible for accelerating experiments on advanced search capabilities and state-of-the-art models, then scaling them to production level.
As a Senior ML Engineer, you'll handle PB-level data processing, support key training and evaluation projects, and work on model evaluation, fine-tuning, and deployment. The role requires expertise in distributed backend systems, modern ML frameworks, and strong programming skills in C++ or Python.
The position offers a competitive salary range of $134,000 to $205,000, along with comprehensive benefits including health insurance, retirement plans, and GM vehicle discounts. The role is remote-based, though candidates near specific locations (Atlanta, Austin, Detroit, Warren, Milford, or Mountain View) are expected to work from the office three times a week.
This is an excellent opportunity for experienced ML engineers passionate about self-driving technology and its impact on the world. You'll be part of a team driving innovation in autonomous vehicle technology while working with state-of-the-art ML models and infrastructure at scale.