Who We Are & Why Join Us
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
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Learn more at: avathon.com
We are hiring an AI Scientist to build the models behind PLM on the Avathon platform. Engineering data is some of the richest and least used data in a manufacturer: BOMs, part attributes, CAD metadata, drawings, specifications and years of engineering change history. You will build models that find similar and substitute parts, predict the impact of an engineering change, extract structure from drawings and documents, and help engineers search across all of it. Our models run on top of a Computational Knowledge Graph that links parts to suppliers, orders, production and assets in the field. This role sits in Product Engineering. You will take models from research to production with the PLM engineering team.
You Will
Engineering Data Intelligence
Build part similarity, classification and substitution models using part attributes, BOM structure and CAD metadata
Build models that predict the downstream impact of an engineering change across BOMs, suppliers and production
Extract structured data from drawings, specifications and engineering documents using vision and language models
Graph and Language Models
Apply graph learning on the Computational Knowledge Graph for link prediction, entity resolution and change impact
Build retrieval and LLM-based tools so engineers can search parts, drawings and change history in plain language
Use Normal Behavior Models to flag unusual change activity, such as spikes in ECR volume on a product line
Productization
Work with engineering to put models into production with evaluation, monitoring and clear explanations
Work with AI agents that help engineers and planners act on change impact
Write up methods and results clearly for product, customers and leadership
You'll Have
PhD in Computer Science, Machine Learning, Mechanical Engineering or a related field, or an MS with 5+ years of relevant industry experience
Strong foundation in machine learning, with 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
Experience at a PLM or CAD vendor such as Siemens, PTC, Dassault Systemes, Autodesk or Oracle, or at an engineering-heavy manufacturer, is a strong plus
Strong Python and the standard ML stack (PyTorch, Hugging Face, graph libraries)
Experience shipping models to production, not only notebooks
Publications or patents in related areas are a plus
Compensation
Pay Range: $160k - $240k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
Summary
Build ML models for product lifecycle management including part similarity and substitution, engineering change impact prediction, and extraction from drawings and specifications. Requires PhD or MS with 5+ years experience, strength in graph learning, NLP/LLMs or vision, and Python with PyTorch.
Responsibilities
Build part similarity, classification, substitution and engineering change impact models; extract structure from drawings and documents; apply graph learning and build retrieval/LLM search tools; put models into production with evaluation and monitoring
Qualifications
PhD or MS with 5+ years; foundation in machine learning with depth in graph learning, NLP/LLMs or document computer vision; Strong Python and ML stack; publications or patents a plus
Education requirements
PhD in Computer Science, Machine Learning, Mechanical Engineering or related field, or MS with 5+ years relevant industry experience
Experience requirements
5+ years of relevant industry experience with MS; experience applying ML to engineering/manufacturing data; experience shipping models to production