> Markdown version of [/jobs/ext/501555-ml-engineer](https://www.wearedevelopers.com/jobs/ext/501555-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer - **Company:** General Motors - **Location:** San Francisco Bay Area, CA, United States - **Experience:** Expert - **Salary:** $185,000.0 - $335,300.0 - **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 8, 2026 - **Apply:** https://www.dice.com/job-detail/dfa6fa63-0c4b-4ba2-8e8c-a9f10f5a090a ## About the Role * Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience * 5+ years professional software engineering experience. * 3+ 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, Google Cloud Platform, 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): * 5+ 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., This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [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. 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