Staff Software Engineer - Machine Learning
General Motors · Remote - United States ·
- Work mode
- Remote
- Seniority
- Staff
- Category
- ML ai
- Experience
- 4+ years
- Visa sponsorship
- No
- Company size
- 1000+
- Salary
- USD 134,000 – 235,900 / year
General Motors · Remote - United States ·
atoms · San Francisco, CA
Zscaler · San Jose, California, USA
Zscaler · San Jose, California, USA
Build ML and reinforcement-learning models that power autonomous-vehicle simulation, creating realistic road-user behaviors for training and testing self-driving policies using generative AI and RL.
Job Description
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.
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
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 $134,000 to $235,900. 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.
#GM-AV-1
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