Senior Software Engineer - Machine Learning

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

Job summary

A leading automotive company is seeking an experienced professional to join their Smart Agents group, focusing on developing machine learning and reinforcement learning models for autonomous vehicles. This remote role involves integrating advanced technologies in a fast-paced environment, requiring strong software engineering skills and a passion for robotics.

Benefits

Medical, dental, and vision insurance

HSA and FSA

Retirement plans

Paid time off

Tuition assistance

Vehicle discounts

Qualifications

• 4+ years of experience in robotics or latency-sensitive backend services.
• Strong programming skills in modern C++ or Python.
• Background working with ML teams, algorithms, and models.

Responsibilities

• Develop ML and RL models, including training loop development and optimization.
• Streamline integration and create ML infrastructure for production deployment.
• Support the ML team in accelerating project timelines related to autonomous technologies.

Skills

Robotics

Machine Learning

Reinforcement Learning

Programming in C++

Programming in Python

Job description

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 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—e.g., the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group works closely with the rest of the Simulation team and our partners in Behaviors, Perception, and Safety Engineering.

The specific duties may include ML/RL model development, training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for both production deployment and fast experimentation cycles.

What You'll Do:

1. Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization.
2. Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation.
3. Work as part of an ML team, contributing strong software engineering (SWE) expertise.
4. Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.
5. 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 Description

Your Skills & Abilities:

• 4+ years of experience in 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 designing scalable, efficient, fault-tolerant architectures that are easily extensible.
• Ability to design across multiple systems and investigate both sophisticated areas and systems outside your domain.
• Ability to shift between coding, design, technical strategy, and mentorship with good judgment.
• 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 $134,000 to $205,000, with additional bonus potential based on performance. Benefits include medical, dental, vision, HSA, FSA, retirement plans, paid time off, tuition assistance, vehicle discounts, and more.

Relocation: This job may be eligible for relocation benefits.

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