Senior ML Test Engineer
Core
Define ML quality strategy and build scalable automation to evaluate CAD RL model outputs, ensuring geometric validity and policy stability for Autodesk's research and product teams.
Role type
Senior IC machine learning test engineer (CAD/RL focus)
Builds
Model evaluation suites, test datasets, and automated QA workflows for ML services and APIs
Domain
Computer-Aided Design (CAD) and Reinforcement Learning (RL)
Deliverable
production ML models | product features
Required skills
Python programming, test automation, UAT test suites, software architecture, data validation, ML evaluation metrics, CI/CD pipelines, cloud platforms, MLOps practices
Preferred skills
CAD environments, experiment tracking tools, data orchestration, API testing, code review
Technologies
Airflow, AWS, Azure, GitHub Actions, Jenkins, MLflow, PyTorch, TensorFlow, Comet, Weights & Biases
Responsibilities
Define ML quality strategy and acceptance criteria; Design and maintain model evaluation suites and test datasets; Evaluate CAD RL model outputs for geometric validity and policy stability; Automate ML QA workflows using Python and CI/CD tools; Build and maintain test harnesses for ML services and APIs; Establish quality gates for training and deployment pipelines including drift detection
Seniority
Senior, hands-on IC
