General Motors

Senior AI/ML Engineer - Data Scaling, Embodied AI Data Foundations

General Motors • $125K — $174K *
Markham, ON L3R 0G6In-Person
Transportation
Less than 5 years of experience
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Job Overview by Ladders

Qualifications

  • Master's or PhD in Computer Science, Robotics, or Machine Learning.
  • Strong fundamentals in machine learning experiment design and analysis.
  • Proficient in Python and PyTorch for training large datasets.
  • Hands-on experience with data-centric machine learning techniques.
  • Understanding of large-scale foundation models and their training processes.
  • Solid data analysis skills with tools like NumPy, Pandas, SQL, or Spark.
  • Ability to communicate complex results to technical and non-technical audiences.

Responsibilities

  • Design and execute experiments linking data composition to model behavior.
  • Apply advanced machine learning methods to various driving tasks.
  • Develop data curation and mining strategies to enhance training data value.
  • Establish metrics that correlate with on-road behavior to guide decision-making.
  • Investigate model failures to identify and rectify underlying data issues.
  • Train models at scale, collaborating with platform teams to optimize processes.
  • Collaborate cross-functionally to integrate models into driving systems.

Benefits

  • Paid time off including vacation, holidays, and family leave.
  • Comprehensive healthcare, dental, and vision coverage.
  • Life insurance options for employee and dependents.
  • Pension plan with company matching for retirement savings.
  • Employee discounts on GM vehicles for family and friends.
Full Job Description
Job Description

Vacancy Status:

No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role.

Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham three times per week, at minimum [or other frequency dictated by the business].

The Data Scaling team owns the data flywheel for AV foundation model pre-training and SFT. We determine what data the AV needs in order to learn driving behaviors at scale, and we define what data quality means across the loop. The team delivers ML models that move the product up the data scaling curves, turning better data composition into measurably better driving behavior. We work with the very large datasets GM already has and we define the next generation of highest-value datasets GM collects. With each major release we aim to 10x the effective data behind our models: more scale, more diversity, and more value extracted from every example.

Why Join Us?
  • Train on driving data almost nobody else has - real-world miles from GM's fleets, plus synthetic sim data - scaling into billions of examples. Then decide which ones are worth it: ten thousand near-identical highway miles teach the model less than one unprotected left turn in the rain. Mixture design, curation, mining, and evaluation are how you find out which is which, working alongside other MLEs and research scientists.
  • Work on questions with no textbook answers yet. Scaling laws for language are well mapped by now; for embodied driving data - heavy-tailed, safety-constrained, closed-loop - they aren't. You'd be helping write them, and we support publishing what you find.
  • See your results in the world rather than on a leaderboard. The models this team ships change how the vehicle behaves on real roads, and that behavior comes back as the evidence for your next iteration.


As a Senior AI/ML Engineer in the Embodied AI Data Foundations organization, you will be an individual contributor developing data-centric AI solutions that directly improve autonomous driving performance. You will design and run the data curation and model training recipes that produce models capable of safe, reliable behavior across diverse real-world scenarios, drawing on both real and synthetic data.

What You'll Do
  • Design and run experiments that connect data composition to model behavior: dataset mixtures, sampling strategies, curricula, and scaling-law studies that tell us where to invest next.
  • Apply methods such as self-supervised pre-training, imitation learning, reinforcement learning, and foundation-model fine-tuning to driving behavior, trajectory generation, and perception tasks.
  • Develop data curation and mining methods - auto-labeling, deduplication, difficulty and uncertainty estimation, long-tail and out-of-distribution scenario discovery - to raise the value of every training example.
  • Define offline metrics and evaluations that actually predict on-road behavior, and use them to make model and data decisions from evidence rather than intuition.
  • Trace model failures back to their root cause in the data, then close the loop by specifying the data needed to fix them.
  • Train models at scale across large multi-GPU/multi-node datasets, partnering with platform teams on the pipelines and tooling this requires.
  • Collaborate with cross-functional teams to bring models into onboard driving systems, and document learnings and best practices along the way.
  • Follow relevant literature and bring promising advances into our recipes and evaluations.


Your Skills and Abilities (Required Qualifications)
  • Master's or PhD in Computer Science, Robotics, Machine Learning.
  • Strong ML fundamentals: you can design a clean experiment, pick the right baseline, read an ablation, and tell signal from noise.
  • Proficiency in Python and PyTorch, with experience training models on large datasets.
  • Hands-on experience with data-centric ML: curation, sampling, labeling, or evaluation of large training sets.
  • Working knowledge of large-scale foundation models and how they are pre-trained, fine-tuned, and aligned.
  • Solid data analysis skills (NumPy, Pandas; SQL or Spark for large datasets).
  • Demonstrated ability to deliver applied ML results under real-world constraints and timelines.
  • Clear communication: you can explain a result and its limits to both engineers and non-experts.


Preferred:
  • PhD, publications, or open-source contributions in representation learning, multimodal or vision-language models, generative models, RL, or data-centric ML.
  • Experience with robotics, autonomous driving, or other embodied AI systems.
  • Experience with synthetic and simulation data, including sim-to-real transfer.
  • Familiarity with production ML deployment workflows.


Compensation:

The salary range for this role is $125,000 to $174,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE

Benefits:

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
  • Healthcare, dental and vision benefits including health care spending account and wellness incentive.
  • Life insurance plans to cover you and your family.
  • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
  • GM Vehicle Purchase Plan for you, your family, and friends.

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.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

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.

Explore Job Opportunities

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.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
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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