R&D Researcher, AI and Machine Learning

General Motors (GM)

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Hybrid

Quick summary

Work type
Hybrid
Location
Warren, MI
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $220k
$147k $292k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $184,613–$254,750.

Based on 240 similar postings.

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · R&D Researcher, AI and Machine Learning

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JOB TITLE: R&D Researcher – AI and Machine Learning The R&D Manufacturing Systems Research Group is seeking a researcher to develop and apply artificial intelligence and machine learning solutions for advanced manufacturing systems. You will conduct applied research to solve real-world challenges involving process improvement, quality, automation, production efficiency, and decision support. Daily responsibilities include building data pipelines, prototypes, and analytical tools while collaborating with multidisciplinary teams to transition successful concepts into manufacturing applications. You will utilize methods such as deep learning, generative AI, large language models, computer vision, time-series modeling, and optimization. Required technical skills include Python, AI/ML frameworks, and experience with structured or unstructured data from sensors and simulations. This role addresses technical problems in manufacturing engineering, production systems, and industrial operations through rigorous experiment design and model validation.

Skills

Artificial Intelligence Machine Learning Python Deep Learning Generative AI Large Language Models Computer Vision Time-series Modeling Optimization PyTorch TensorFlow scikit-learn Keras MATLAB R SQL MLOps Digital Twins Reinforcement Learning Data Pipelines

What you'll do

  • Develop and evaluate AI/ML models for manufacturing engineering and production applications.
  • Build data pipelines, prototypes, analytical tools, and decision-support solutions.
  • Apply deep learning, generative AI, computer vision, and time-series modeling to manufacturing challenges.
  • Process and analyze manufacturing data from sensors, equipment, simulations, and operational systems.
  • Translate engineering challenges into specific research questions and technical development plans.
  • Design experiments, validate results, and assess the technical and business impact of solutions.
  • Evaluate emerging AI/ML technologies to determine their potential value for manufacturing systems.
  • Communicate technical results through presentations, reports, publications, and invention disclosures.

What we're looking for

  • Master’s degree or PhD in Computer Science, AI, 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.
  • Experience applying AI/ML to manufacturing, engineering, robotics, automation, scientific computing, or industrial operations (preferred).
  • Experience with PyTorch, TensorFlow, scikit-learn, Keras, MATLAB, R, SQL, or cloud-based AI/ML platforms (preferred).

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