> Markdown version of [/jobs/ext/3874357-engineering-data-intelligence](https://www.wearedevelopers.com/jobs/ext/3874357-engineering-data-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Data Intelligence - **Company:** Avathon, Inc - **Location:** United States - **Experience:** Expert - **Salary:** $160,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Computer Vision, Graph Database, Data Intelligence, Python (Programming Language), Machine Learning, Language Modeling, Oracle (Applications), Technical Data Management Systems, Pytorch, Large Language Models, Agentic-AI, Information Technology, HuggingFace, Entity Resolution, Autodesk Autocad - **Published:** October 22, 2026 - **Apply:** https://startup.jobs/ai-scientist-product-lifecycle-management-plm-avathon-10535707 ## About the Role * 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 ## Description * 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, 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.