GE Senior AI / ML Engineer - Embodied AI Generalmotors · Remote · US · Machine Learning Engineering $170,600–$261,300 7mo ago

Aimlroles; Mountain View, Northern (CA, KY); Hybrid; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Retirement savings plan

Tuition assistance

Job summary

General Motors is seeking a Senior AI/ML Engineer in the Embodied AI organization to develop and deploy machine learning solutions that improve autonomous driving performance. You will help design and improve models that support safe, reliable vehicle behavior across real-world scenarios.

You will work with senior engineers and cross-functional teams to translate research into production-ready solutions, contribute to engineering best practices, and participate in code reviews, documentation,

Qualifications

• Bachelor’s or Master’s degree in CS, robotics, ML, or related field.
• Experience applying ML to real-world systems or large data.
• Proficiency in PyTorch and Python; knowledge of data processing tools.

Responsibilities

• Develop and improve ML solutions aligned with autonomous driving goals.
• Apply unsupervised pre-training, imitation learning, RL, and foundation modeling.
• Collaborate to deploy models into onboard driving systems.
• Evaluate models and translate research into practical apps.
• Support ML deployment from experimentation to production.
• Participate in code reviews and documentation to maintain quality.

Skills

Cross-functional collaboration

Production ML experience

Model deployment

Education

Bachelor’s or Master’s degree in CS, Robotics, ML, or related field

Tools

PyTorch

Python

NumPy

Pandas

Apache Spark

Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’returningtoday’simpossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role

As a Senior AI/ML Engineer inthe 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.

Your Skills & Abilities

• 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.

Remote:

This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positions locatedoutside of the California Bay Area.

• The salary range for this role is $170,600.00 to $261,300.00. 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 incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This job may be eligible forrelocationbenefits.

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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.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

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