Senior Software Engineer - Machine Learning

General Motors of Canada; United States; Remote; USD 134,000 - 205,000; Full time

Job summary

General Motors is seeking a talented ML/RL Engineer to join the Smart Agents team. This role focuses on building and optimizing machine learning models for testing and training autonomous vehicle driving policies. Work involves robotics and requires strong programming skills in C++ or Python. Candidates should have a passion for self-driving technology and experience with high-performance ML and systems pipelines.

Benefits

Health benefits

Retirement benefits

Incentive pay

Relocation assistance

Qualifications

• 4+ years of experience in robotics or latency-sensitive backend services.
• Experience working with ML teams, algorithms, and models.
• Passionate about self-driving car technology.

Responsibilities

• Develop and optimize ML and RL models for AV technologies.
• Integrate and create ML infrastructure, metrics, and data pipelines.
• Contribute to project timelines related to Autopilot and AV technologies.

Skills

Robotics

Machine Learning

Reinforcement Learning

Programming in C++

Programming in Python

Job description

Job Description

Remote: This role is based remotely, but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week at minimum.

Role: The Smart Agents group is responsible for building ML models and systems to simulate road users in various situations, generating scenarios for testing and training autonomous vehicle (AV) driving policies. If you think of simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops ML/AI models that control other characters in the video game, such as vehicles, bikers, and pedestrians, to interact realistically as the AV drives. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The group works closely with Simulation, Behaviors, Perception, and Safety Engineering teams.

The duties include ML/RL model development, training loop creation, optimization, integration, and building ML infrastructure, metrics, and data pipelines for production deployment and rapid experimentation.

What You'll Do:

• Support the team in developing ML and RL models, including training loop development and optimization.
• Streamline integration and create ML infrastructure, metrics, and data pipelines for deployment and experimentation.
• Contribute as part of an ML team with strong software engineering expertise.
• Support project timelines related to Autopilot, Lane Keep, and AV technologies.
• Experience in simulation and robotics is highly desirable, especially from AV or robotics backgrounds.

Your Skills & Abilities:

• 4+ years of experience in robotics or latency-sensitive backend services.
• Experience working with ML teams, algorithms, and models.
• Bonus: Experience building high-performance ML and system pipelines.
• Strong programming skills in modern C++ or Python.
• Bonus: Profiling CPU/GPU software, process scheduling, and prioritization skills.
• Passionate about self-driving car technology and its impact.
• Expertise in scalable, efficient, fault-tolerant architectures that are easily extensible.
• Ability to design across multiple systems and investigate sophisticated areas with a broad understanding.
• Ability to shift between coding, design, strategy, and mentorship with good judgment.
• Track record of deploying perception, prediction, and AV models into real environments.
• Experience with RL and sequence prediction ML models.

Compensation: The salary range is $134,000 to $205,000, based on experience and other factors. Incentive pay and benefits are also offered.

Relocation: May be available for eligible candidates.

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About GM: Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We aim to lead change for a better, safer, more equitable world.

Why Join Us: We foster an inclusive culture where every employee belongs and can make a difference.

Benefits Overview: From day one, GM supports your well-being with health, retirement, and other benefits. Learn more at Total Rewards Resources.

Non-Discrimination: GM is committed to a workplace free of discrimination and fosters inclusion and belonging. We encourage candidates to review key responsibilities and apply for roles matching their skills. Applicants may need to complete assessments or screenings. More info at How we Hire.

Accommodations: GM provides accommodations for individuals with disabilities. Contact us at 800-865-7580 or email us with your needs, specifying the job title and requisition number.