General Motors

AI/ML Engineer - Model Inference

General Motors • $117K — $221K *
Sunnyvale, CA 94087In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience
  • Experience building production data processing or machine learning pipelines at scale
  • Experience with featurization, embedding, inference, or retrieval systems for vision or multimodal workloads
  • Strong understanding of computer vision models and deployment challenges
  • Experience evaluating machine learning systems with clear metrics and regression safeguards
  • Proven ability to work hands-on in fast-moving environments with incomplete information
  • Strong ownership mindset and technical judgment for driving execution in ambiguity

Responsibilities

  • Design, build, and productionize data processing and featurization pipelines
  • Improve inference frameworks for computer vision and multimodal models
  • Drive scalability and cost efficiency across the end-to-end pipeline
  • Work closely with partners across machine learning, infrastructure, and evaluation
  • Develop and refine evaluation methods for model and system performance
  • Help shape technical direction through execution and tradeoff analysis
  • Take ownership of ambiguous problem spaces and move quickly from prototype to production
  • Operate with urgency and maintain high engineering quality standards

Benefits

  • GM offers a variety of health and wellbeing benefit programs including medical, dental, and vision
  • Health Savings Account and Flexible Spending Accounts available
  • Retirement savings plan, sickness and accident benefits, and life insurance offered
  • Paid vacation & holidays
  • Tuition assistance programs and employee assistance program provided
  • GM vehicle discounts available
  • Remote work flexibility with potential relocation benefits
Full Job Description
Job Description

The Role

We are looking for a hands-on machine learning engineer to help build the data processing, featurization, and inference foundations that power scalable world understanding. This role is ideal for someone who is equally comfortable working on machine learning systems, production infrastructure, and evaluation loops, and who enjoys turning ambiguous problems into practical, reliable solutions.
What You'll Do
  • Design, build, and productionize data processing and featurization pipelines for large-scale multimodal data
  • Improve inference frameworks for computer vision and multimodal models, with a focus on reliability, extensibility, and operational simplicity
  • Drive scalability and cost efficiency across the end-to-end pipeline, including compute utilization, throughput, storage, and query performance
  • Work closely with partners across machine learning, infrastructure, and evaluation to deliver systems that support both rapid experimentation and production use
  • Develop and refine evaluation methods for model quality, retrieval quality, and system-level performance
  • Help shape technical direction through strong execution, thoughtful tradeoff analysis, and clear engineering judgment
  • Take ownership of ambiguous problem spaces, define practical paths forward, and move quickly from prototype to production
  • Operate with urgency and a strong bias toward execution velocity while maintaining a high bar for engineering quality


Your Skills & Abilities
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience
  • Experience building production data processing or machine learning pipelines at scale
  • Experience with featurization, embedding, inference, or retrieval systems for vision or multimodal workloads
  • Strong understanding of computer vision models and the practical challenges of deploying them in production environments
  • Experience evaluating machine learning systems using clear metrics, experiments, and regression safeguards
  • Proven ability to work hands-on in fast-moving environments with incomplete information
  • Strong ownership mindset, sound technical judgment, and the ability to drive execution through ambiguity


What Will Give You A Competitive Edge
  • Experience with world models or large-scale world understanding systems
  • Experience with simulation workflows or synthetic data systems
  • Experience with vector search, approximate nearest neighbor retrieval, or large-scale embedding infrastructure
  • Experience working on embodied AI, autonomous systems, or safety-critical machine learning applications


Compensation

  • The salary range for this role is $117,700 and $221,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position (along with level.)


  • 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.


This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.This job may be eligible for relocation benefits.

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.

Keep Up to Date

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Job Alert Emails

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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