Staff Software Engineer - Machine Learning

generalmotors; United States; Remote; USD 145,000 - 284,000; Full time

Benefits offered by this job

Health benefits

GM vehicle discounts

Job summary

General Motors seeks a robotics/ML engineer for the Smart Agents group, developing ML/RL models and simulation infrastructure to test autonomous driving policies. You will work on training loops, data pipelines, and production deployment in collaboration with perception, behavior, and safety teams.

You bring 4+ years in robotics or latency-sensitive backend services, strong C++/Python skills, and ML experience with TensorFlow or PyTorch.

Qualifications

• 4+ years in robotics or latency-sensitive backend services.
• Background working with machine learning teams, algorithms, and models.
• Proven ML framework experience (TensorFlow or PyTorch).
• Experience building performant ML and system pipelines.
• Strong programming in C++ or Python.

Responsibilities

• Develop ML/RL models and training loops for AV simulations.
• Streamline ML infrastructure, metrics, and data pipelines for production and experimentation.
• Contribute SWE expertise within an ML team and accelerate project timelines.

Skills

4+ years robotics/latency-sensitive

Machine learning background

C++/Python

ML pipelines

SWE expertise

RL/AV experience

Tools

TensorFlow

PyTorch

Job description

Job Description

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, 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.

What You'll Do:

• Support the team in developing 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.
• Work as part of an ML team and contribute strong software engineering (SWE) expertise.
• 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.

Your Skills & Abilities:

• 4+ years of experience in the field of robotics or latency-sensitive backend services
• Background working with machine learning teams, algorithms, and models
• Bonus: Experience building highly performant ML and system pipelines
• Strong programming skills in modern C++ or Python

Bonus:

• 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

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 salary range for this role is $144,700 to $284,100. 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.

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.

Relocation: This job may be eligible for relocation benefits.

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