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Staff Machine Learning Engineer, AI Compute Platform
General Motors
- United States
- United States
About
Relocation assistance is available. About Our Team: The Machine Learning Compute Platform is a crucial part of the AI Compute Platform organization within Infrastructure Platforms at GM. Our team is dedicated to providing a cloud-agnostic, reliable, and cost-effective computing backend that powers GM's AI initiatives. We proudly support teams involved in the development of autonomous vehicles (L3/L4/L5) and other AI-driven products, fostering rapid innovation in machine learning-centric use cases. Our platform is designed to train and deploy state-of-the-art machine learning models, focusing on performance, availability, concurrency, and scalability while maximizing GPU utilization across various platforms. About the Role: We are looking for a Staff Machine Learning Engineer to assist in building and scaling robust compute platforms for machine learning workflows. In this influential position, you will collaborate with machine learning engineers and researchers to streamline model training and optimize deployment processes. You will significantly impact AI infrastructure at GM. You will be instrumental in enhancing the user experience of our platform, ensuring that machine learning practitioners can efficiently discover, schedule, and debug jobs. The ideal candidate will have experience designing distributed systems for machine learning, possesses strong problem-solving skills, and holds a user-centric approach to platform usability and reliability. Key Responsibilities: Design and implement core backend software components for the platform. Work with various cloud platforms such as GCP, Azure, or on-prem solutions. Collaborate closely with ML engineers and researchers to understand platform challenges and enhance the developer experience. Adapt to dynamic environments while interacting with multiple teams to integrate innovations. Analyze and optimize the efficiency, scalability, and stability of various system resources. Lead large-scale technical initiatives across GM's ML ecosystem. Contribute to raising the engineering standards through technical leadership and best practices. Engage in and potentially lead open-source projects; represent GM in relevant communities. Requirements: 8+ years of relevant industry experience. Proficiency in Go, C++, Python, or other pertinent programming languages. In-depth understanding of Kubernetes at scale. Experience in building large-scale distributed systems. Demonstrated capability in leading large technical initiatives. Familiarity with cloud services like Google Cloud Platform, Microsoft Azure, or Amazon Web Services. Preferred Qualifications: Hands-on experience in constructing ML infrastructure platforms with an emphasis on developer/user experience. Experience in designing job orchestration interfaces, CLI tools, or web UIs for ML workflows. Knowledge of observability, telemetry, and user feedback mechanisms to guide product improvements. Expertise in GPU/TPU optimizations. Experience with training frameworks such as PyTorch and TorchX. Familiarity with the Ray framework. Active engagement in the open-source community. Experience in infrastructure applications or similar fields. Why Join Us? If you are excited to tackle some of the industry's most complex engineering challenges and want to see the tangible impact of your work in real-world AV applications, while contributing to the future of AI infrastructure at GM, we encourage you to apply! Compensation:
The compensation information provided is a good faith estimate based on what a successful applicant might expect to earn. Actual compensation may vary based on factors relevant to the role. Expected Base Compensation:
$195,000 - $298,000. Actual base compensation will depend on the candidate's experience and qualifications. Bonus Potential:
Payouts based on company performance, individual performance, and job level are possible. Benefits:
GM offers diverse health and wellbeing benefits, including medical, dental, vision coverage, Health Savings Accounts, Flexible Spending Accounts, retirement plans, life insurance, and paid vacation & holidays. About GM: Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We are committed to leading the change necessary to create a better, safer, and more equitable world for all. Commitment to Inclusion:
GM is dedicated to fostering a workplace free of discrimination and one that genuinely promotes inclusion and belonging. We believe that a diverse, inclusive workplace allows us to create better products for our customers. We encourage interested candidates to review the responsibilities and qualifications for each role and to apply for any positions matching their experience. Accommodations:
GM is an equal opportunity employer and offers opportunities to all job seekers, including those with disabilities. If you require assistance during your job search or application process, please reach out with a description of your needs.
Languages
- English
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