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Job Description

**Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per 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 autonomous 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 drives-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 pipelines for production model deployment as well as for 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) models

**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 152,000 to 230,000. 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.

\#LI-MH2

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Explore our global location** **s

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