Senior AI​/ML Researcher

• Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications.
• Lead 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.

• PhD or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field, with significant relevant experience.
• 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.

Demonstrates expertise in building, validating, and deploying AI/ML models, with a strong focus on manufacturing engineering applications. Possesses advanced knowledge in machine learning, deep learning, and modern AI/ML workflows, complemented by excellent collaborative and communication skills.

• PhD In Computer Science
• AI/ML Model Development
• Deep Learning Expertise
• Manufacturing Process Modeling
• High Impact Publications

• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models
• Physics-Based Machine Learning
• Data Pipelines
• Model Training
• Model Evaluation
• Model Deployment
• Lifecycle Management

• Collaborative Skills
• Effective Communication

• Manufacturing Engineering
• Applied Research
• Simulation
• Scientific Computing
• Production Management
• Operations Optimization