As a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side‑by‑side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality‑focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software. Reporting Structure: You will report to an Engineering Manager in Research Enablement.

Responsibilities

• Define ML quality strategy and acceptance criteria across data, model, and system levels
• Design and maintain model evaluation suites, metrics, and test datasets
• Evaluate CA...