AI Scientist, Product Lifecycle Management (PLM)

What you'll do

• Develop models for part similarity, classification and substitution, engineering-change impact, and data extraction from engineering documents.
• Apply graph learning and build retrieval and LLM tools for engineering search; use Normal Behavior Models to flag unusual change activity.
• Partner with engineering to deploy, evaluate, monitor, and explain models, and work with AI agents that support engineers and planners.

What they ask for

• PhD in Computer Science, Machine Learning, Mechanical Engineering, or a related field, or an MS with 5+ years of relevant industry experience.
• Strong machine-learning foundation and depth in at least one of graph learning, NLP / LLMs, or computer vision on documents.
• Experience applying ML to engineering or manufacturing data such as BOMs, CAD, drawings, or part catalogs.
• Strong Python and standard ML stack (PyTorch, Hugging Face, graph libraries); experience shipping models to production.

Nice to have

• Experience at a PLM or CAD vendor or an engineering-heavy manufacturer.
• Publications or patents in related areas.

Pay

$160k - $240k USD base salary

Tools

Python, PyTorch, Hugging Face, graph libraries, Computational Knowledge Graph

AI focus

Develop graph, language, vision, retrieval, and LLM models for engineering-data intelligence, change-impact analysis, document extraction, natural-language search, anomaly detection, and AI-assisted planning.