Senior Machine Learning Engineer

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 the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonom ous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av dr ives- eg , the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies . The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.

The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure , metrics, and data pipeline s for production model de plo yment as well as f or fast experimentation cycles. This team is critical to the testing and training of our autonomous vehicles .

What You'll Do:

• Develop machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization.
• Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation.
• Contribute as a full-stack Machine Learning Engineer (MLE) with strong software engineering (SWE) skills, focusing on engineering and applied ML.
• Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.
• Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies.

Additional Job Description

Your Skills & Abilities :

• 4+ years of experience in the field of robotics or latency-sensitive backend services

• Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch

• Experience building highly performant ML and system pipelines

• Strong programming skills in modern C++ or Python

• Experience with profiling CPU and/or GPU software, process scheduling, and prioritization

• Passionate about self-driving car technology and its impact on the world

• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.

• Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.

• Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.

• Track record in deploying perception/prediction/av models into real world environments

• Experience working with RL and sequence prediction (ML) model s

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 New York, Colorado, California, or Washington.

• The salary range for this role is $134,000 to $205,000. 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 incentive pay program offers payouts based on company performance, job level, and individual performance.
• 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

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