설명
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
· Master’s 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.)
이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.
Relocation 지원 혜택은 회사 정책에 따라 자격이 되는 지원자에게 제공됩니다.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.