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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - ML Training... - **Company:** General Motors - **Location:** Salem, OR, 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:** June 5, 2026 - **Apply:** https://www.juju.com/job/00000000g5efat ## About the Role + Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience + 3+ 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 **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. ## 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., 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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