R&D Researcher - AI and Machine Learning

Job Description

The Role

The R&D Manufacturing Systems Research Group at General Motors is seeking a researcher to develop and apply artificial intelligence and machine learning solutions for advanced manufacturing systems.

This role will focus on applying AI/ML to real-world manufacturing challenges involving process improvement quality automation production efficiency and decision support. The researcher will work with multidisciplinary teams to develop new concepts build prototypes evaluate results and help transition successful solutions into manufacturing applications.

What You Will Do

You will conduct applied research and technical development at the intersection of AI/ML and manufacturing systems. You will collaborate with researchers manufacturing engineers plant personnel operational teams and external partners to identify opportunities and develop practical solutions.

Key Responsibilities

Develop and evaluate AI/ML models for manufacturing engineering and production applications.

Build data pipelines prototypes analytical tools and decision-support solutions.

Apply methods including machine learning deep learning generative AI large language models computer vision time-series modeling and optimization.

Work with manufacturing data from sensors equipment processes simulations and operational systems.

Translate engineering and manufacturing challenges into research questions and technical plans.

Design experiments validate results and assess technical and business impact.

Evaluate emerging AI/ML technologies and determine their potential value for GM manufacturing systems.

Collaborate with cross-functional teams universities suppliers and technical experts.

Communicate technical results through presentations reports publications and invention disclosures.

Maintain current knowledge of AI/ML methods tools and responsible AI practices.

Required Qualifications

Masters degree or PhD in Computer Science Artificial Intelligence Machine Learning Data Science Engineering Applied Mathematics Physics or a related field.

Experience developing and evaluating AI/ML models through academic research industrial research internships or applied engineering projects.

Proficiency in Python and experience with AI/ML frameworks or analytical tools.

Knowledge of data preparation model training validation performance evaluation and experiment design.

Experience working with structured or unstructured data such as sensor time-series image text or process data.

Strong analytical problem-solving communication and collaboration skills.

Ability to work independently and contribute effectively to a multidisciplinary research team.

Preferred Qualifications

Experience applying AI/ML to manufacturing engineering robotics automation scientific computing or industrial operations.

Knowledge of manufacturing process modeling process control quality systems production systems optimization or operations research.

Experience with computer vision anomaly detection predictive maintenance digital twins simulation reinforcement learning generative AI large language models or agentic systems.

Experience with PyTorch TensorFlow scikit-learn Keras MATLAB R SQL or cloud-based AI/ML platforms.

Experience designing data architectures integrating databases or deploying models into operational environments.

Familiarity with MLOps model monitoring model lifecycle management and responsible AI.

Peer-reviewed publications conference presentations patents or invention disclosures.

Experience collaborating with universities suppliers research institutions or distributed technical teams.

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. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc). 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. Relocation benefits are available for candidates who qualify under company policy.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire .

Accommodations

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Required Experience:

IC