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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - ML Training Infrastructure - **Company:** General Motors - **Location:** Montgomery, AL, United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Profiling, Computer Programming, Extract Transform Load (ETL), Software Debugging, Distributed Computing Environment, Distributed Systems, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Engineering, Google Cloud, Cloud Platform System, Pytorch, Parallel Computation, Information Technology, Machine Learning Operations - **Published:** August 6, 2026 - **Apply:** https://dejobs.org/x/x/5528A13BB4454C35A2CFADAC36E3B141/job/ ## About the Role * Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience * 2+ years professional software engineering experience. * 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models * Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar * Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure). * Willingness to travel to Sunnyvale, CA as needed * Comfortable working in highly ambiguous and dynamic environments What Will Give You a Competitive Edge (preferred qualifications): * 3+ years of professional software engineering experience. * Self-motivated, strong execution, impact-delivering oriented * Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework * Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models * Experience with profiling, analysis, debugging and optimizing training and data loading performance. * Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback ## Description We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: * Design and development of scalable, reliable, high-performance ML framework to support model training at scale. * Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost. * Raise the bar on system observability, debuggability, and operational excellence, and user experience. * Collaborate with cross-functional teams to integrate new features and technologies into the platform., Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. * The salary range for this role is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. * Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance., This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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