General Motors · 5 months ago
Staff ML Engineer, Inference Platform
Warren, Michigan, United States of America
Full-time
Hybrid
Lead/Staff
$195K/yr - $298K/yr
8+ years expGeneral Motors is a leading automotive company focused on innovation and sustainability. They are seeking a Staff ML Engineer to build and scale robust compute platforms for machine learning workflows, collaborating with engineers and researchers to enhance model serving and inference capabilities.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
Design and implement core platform backend software components
Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value
Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services
Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques
Lead large-scale technical initiatives across GM’s ML ecosystem
Raise the engineering bar through technical leadership, establishing best practices
Contribute to open source projects; represent GM in relevant communities
Qualification
Required
8+ years of industry experience, with focus on machine learning systems or high performance backend services
Expertise in either Go, Python, C++ or other relevant coding languages
Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc)
Strong communication skills and a proven ability to drive cross-functional initiatives
Experience working with cloud platforms such as GCP, Azure, or AWS
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities
Preferred
Hands-on experience building ML infrastructure platforms for model serving/inference
Experience working with or designing interfaces, apis and clients for ML workflows
Experience with Ray framework, and/or vLLM
Experience with distributed systems, and handling large-scale data processing
Familiarity with telemetry, and other feedback loops to inform product improvements
Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads
Contributions to open-source ML serving frameworks
Benefits
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
DBusiness Magazine
2026-01-14
2026-01-14
Company data provided by crunchbase