R&D Researcher – AI and Machine Learning

Descripción

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.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Los beneficios de reubicación están disponibles para los candidatos que califican según la política de la empresa.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.