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# Senior AI / ML Engineer - Embodied AI

- **Company:** General Motors
- **Location:** Mountain View, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,600.0 - $261,300.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Code Review, Python (Programming Language), Machine Learning, NumPy, Object Detection, Reinforcement Learning, Data Processing, Pytorch, Apache Spark, Pandas, Embodied AI, Information Technology, Machine Learning Operations
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467428858&tx=HT8175TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, or related field.
 * Experience applying machine learning techniques to real-world systems or large-scale datasets.
 * Proficiency in PyTorch and Python.
 * Experience working with model training pipelines or large-scale data processing workflows.
 * Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
 * Ability to collaborate effectively within cross-functional engineering teams.
 * Experience deploying ML models into production or working within production ML environments preferred.

## Description

As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance. You will contribute to designing and improving ML models that support safe and reliable vehicle behavior across real-world scenarios.

You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution.

What You'll Do

 * Develop and improve ML solutions aligned with GM's autonomous driving objectives.
 * Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
 * Collaborate with cross-functional teams to deploy models into onboard driving systems.
 * Implement and evaluate models, incorporating research advancements into practical applications.
 * Contribute to taking ML solutions from experimentation through deployment and production support.
 * Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing., Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.