General Motors

AI/ML Scientist

General Motors • $90K — $130K *
Milford, MI 48381Hybrid
Manufacturing & Automotive
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or Mathematics
  • 2+ years of experience in machine learning, deep learning, LLM development, NLP, or AI-driven automation
  • Proficiency in Python and C/C++ (JavaScript optional) with strong object-oriented design skills
  • Solid understanding of data science and applied statistics; familiarity with signal processing is a plus
  • Experience with major ML frameworks like PyTorch, TensorFlow, and scikit-learn

Responsibilities

  • Lead integration of AI/ML into engineering tools and simulation frameworks
  • Translate complex engineering needs into actionable AI/ML solutions
  • Analyze simulation data using data analytics and signal processing
  • Develop custom feature extraction methods for predictive modeling
  • Collaborate to build new capabilities into the Co-Simulation framework
  • Define strategies for large-scale data ingestion and prompt optimization
  • Champion best practices, coding standards, and documentation norms for AI/ML systems

Benefits

  • Hybrid work environment with flexible reporting
  • Opportunity for hands-on development and technical direction
  • Mentorship roles to influence AI/ML scale and capabilities
  • Cross-functional collaboration with diverse teams
  • Access to cutting-edge AI and machine learning technologies
Full Job Description

Job Description

The Role:

As an Artificial Intelligence and Machine Learning Scientist, you’ll be part of a team that is pioneering the integration of simulation, automation, AI agents, large language models (LLMs), and machine learning into critical systems for vehicle design, calibration, and performance.  You will work cross-functionally with engineers, data scientists, simulation specialists, domain experts and platform teams to define and execute high-impact AI/ML initiatives. Your role will blend hands-on development, technical direction-setting, and mentorship, helping GM scale next-generation capabilities. 

 

What You’ll Do: 

  • Lead and/or support the integration of AI/ML into core engineering tools and simulation frameworks, ensuring robustness, interpretability, and physical relevance of outputs.

  • Translate complex engineering needs into actionable AI/ML solutions, balancing innovation with stability and traceability.

  • Use data analytics and signal processing to analyze simulation output data

  • Develop custom feature extraction methods for predictive modeling - used in optimizations.

  • Apply statistical methods, ML, Big data analytics, anomaly detection methods, and clustering to uncover patterns

  • Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights

  • Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capabilities into our existing Co-Simulation (Digital Twin) framework.

  • Lead and/or support the development and maintenance of cloud and/or on-prem databases.

  • Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments.

  • Establish and champion engineering best practices, coding standards, and documentation norms for AI/ML systems across teams.

Your Skills and Abilities (Required Qualifications):

  • Bachelor’s degree in Computer Science, Engineering, or Mathematics

  • Experience developing and deploying machine learning or deep learning systems in production environments or experience working in LLM development, NLP, or AI‑driven automation.

  • Proficiency in modern programming languages such as Python and C/C++ (JavaScript optional depending on your stack), with strong foundations in object‑oriented design and software architecture.

  • 2+ years of experience developing and deploying machine learning or deep learning systems in production environments or 2+ years working in LLM development, NLP, or AI‑driven automation. 

  • Solid understanding of data science, big‑data workflows, and applied statistics; familiarity with signal‑processing techniques is a plus.

  • Strong experience in major ML frameworks and toolchains (e.g., PyTorch, TensorFlow, HuggingFace Transformers, Scikit-learn, XGBoost)

  • Demonstrated experience with transformer architectures, LLMs, AI agents, or models integrated with simulation workflows.

  • Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization.

  • Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.

  • Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

What Can Give You a Competitive Edge (Preferred Qualifications): 

  • Master’s or PhD in Computer Science, Engineering, Mathematics

  • Experience in automotive or physical system simulation domains.

  • Familiarity with co-simulation frameworks, physical modeling tools (e.g., Simulink, AMESIM), or automotive calibration workflows.

  • Knowledge of optimization techniques (e.g., PSO, GA, MDO) applied to AI-simulation or engineering workflows.

  • Experience with MLOps practices, including containerized deployment (Docker, Kubernetes), CI/CD pipelines, and cloud‑native model serving.

  • Experience building scalable ML systems or full‑stack AI pipelines using modern frameworks (e.g., FastAPI, Ray, cloud services).

  • Willingness to learn and continue developing knowledge in an up-and-coming field.

  • Visionary thinking: You identify and pursue novel AI/ML applications in engineering workflows.

  • Strategic ownership: You drive initiatives from concept to integration, influencing cross-org direction.

  • Cross-domain fluency: You connect simulation, embedded systems, and data science to deliver tangible values

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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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