layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Summer 2027 Intern - Research and Development - Smart Manufacturing Systems at General Motors

Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications.
Conduct technical work across a broad set of AI domains, including classical machine learning, deep learning, GenAI, Large Language Models, multimodal AI, agentic AI, World Models, and physics-based AI.
Translate business and engineering problems into practical AI/ML solution strategies and executable technical plans.
Serve as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices.
Generate new concepts and ideas while conducting research programs that apply the latest AI/ML tools
Drive technical assignments in a resourceful and timely manner with minimal supervision
Work well with fellow researchers, centers, operational groups, plant personnel and universities.
Maintain state-of-art technical skills and knowledge
Develop working relationships with internal and external subject matter experts
Effectively communicate and detail results through internal and external publication
Collaborate with global technical teams and lead discussions as an expert in manufacturing AI/ML
Required Qualifications: Pursuit of an advanced degree (PhD or Masters) in one of the following areas: Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field
Must be a current student
Demonstrated success building and deploying AI/ML models in production or high-value applied research environments.
Deep expertise across multiple AI domains, including machine learning, deep learning, LLMs, generative AI, world models, and physics-based machine learning.
Strong understanding of modern AI/ML development workflows, including data pipelines, model training, evaluation, deployment, monitoring, and lifecycle management.
Experience applying AI/ML to complex technical domains such as engineering, simulation, scientific computing, and advanced manufacturing engineering.
Background in manufacturing process modeling, design, control, and optimization
Manufacturing engineering theory and principles of production management & operations
Excellent collaborative skills
Proven record of high impact publications in peer-reviewed conferences/journals
Able to work fulltime, 40 hours per week during the summer months

Summer 2027 Intern - Research and Development - Smart Manufacturing Systems

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