General Motors

Senior Machine Learning Engineer - Perception & Embodied AI

General Motors • $170K — $261K *
Mountain View, CA 94040Hybrid
Manufacturing & Automotive
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
  • 5+ years of experience in Computer Vision, Deep Learning, and Perception.
  • Expert use of deep learning frameworks like PyTorch or TensorFlow.
  • Experience fusing data from multiple sensor modalities.
  • Practical experience in deploying ML models in real-time embedded systems.

Responsibilities

  • Own the end-to-end model lifecycle for safety-critical ML perception models.
  • Design and validate deep learning models for object detection and tracking.
  • Build ML training infrastructure to streamline model development.
  • Optimize model performance to meet strict real-time requirements.
  • Debug performance issues through rigorous analysis and data-driven approaches.
  • Define robust metrics to guide model development.
  • Collaborate with various engineering functions for system integration.

Benefits

  • Comprehensive health and wellbeing programs including medical, dental, and vision.
  • Retirement savings plans and insurance benefits.
  • Paid vacation and holidays along with tuition assistance programs.
  • Employee assistance programs and GM vehicle discounts.
Full Job Description
Job Description

Role

As a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models, from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. Your primary mission is to enable the vehicle to accurately and reliably see, classify, and track everything in its environment-from rare road markings and complex intersections to vulnerable road users (VRUs).

Responsibilities
  • End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as:
  • 3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
  • Real-time map detection of the drivable world (lanes, road boundaries, traffic signs).
  • Multi-Modal Sensor Fusion (Camera, LiDAR, Radar).
  • Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development.
  • Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware.
  • Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions).
  • Metric Definition: Define and implement robust model-level metrics to aid model development.
  • System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs.


Skills & Experience
  • BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
  • 5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
  • Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs.
  • Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar).
  • Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems.
  • Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation.


Bonus:
  • Expertise with Transformer-based models for 3D detection, tracking, and scene understanding.
  • Technical leadership experience, including mentoring junior engineers and leading major feature development from concept to launch.
  • Contributions to relevant academic publications (CVPR, ECCV, ICCV, IROS, NeurIPS etc.).


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 per week, at minimum.

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 the California Bay Area.

  • The salary range for this role is $170,600.00 to $261,300.00. 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:

  • 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.


This job may be eligible for relocation benefits.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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