Research Principal Engineer, Machine Learning

Responsibilities

• Identify high-value opportunities where AI/ML can accelerate research, reduce cost, expand design space, or improve decision-making in Global Research processes
• Source and configure AI/ML capabilities into existing research and engineering workflows, including mechanical and electrical engineering design, chemistry and other scientific research and software and algorithm development
• Support the use of AI/ML to unlock institutional knowledge from internal data and documentation
• Establish best practices, standards, and metrics to ensure successful and measurable AI/ML adoption
• Help establish training materials, documentation, and ongoing learning programs to sustain long-term capability growth

Qualifications

• PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience
• 8+ years of experience applying machine learning in research, engineering, or advanced technology development environments
• 1+ years of experience learning cutting edge AI technologies and optimizing software development, engineering design or other discipline with on-market and/or custom AI capabilities
• Expertise in machine learning and applied data science
• Strong proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience building end-to-end ML pipelines, including data preparation, modeling, validation, and deployment
• Demonstrated ability to lead complex technical initiatives and influence senior scientists and engineers
• Strong communication skills, with the ability to explain AI and ML concepts to non-ML audiences
• Mentor scientists, engineers, interns, and members of the AI/ML champion network, spanning Global Research sites in Milford, MA, Wilmslow, UK, and Bangalore, India