Principal Machine Learning Engineer, Evaluation

Role Overview

The Principal Machine Learning Engineer will ensure ML-powered experiences meet high standards for quality, reliability, and customer impact across Autodesk products. The role will work hands-on with ML-enabled Autodesk software to design evaluation datasets, metrics, and protocols that reflect real user workflows.

What You Will Do

Design and run evaluation protocols, build repeatable evaluation tooling and automation, curate and analyze data from multiple sources, validate end-to-end ML powered product experiences, and communicate findings and recommendations.

Why It Might Be a Fit

The ideal candidate will have strong software engineering skills, experience with ML model evaluation, and a strong written communication skill. Familiarity with design, manufacturing, or AEC workflows and ML frameworks is a plus.

Requirements

• BS or MS in Mechanical Engineering, Architecture, Computer Engineering, Computer Science, Applied Math, Statistics, or equivalent industry experience
• 4+ years of professional experience in ML model evaluation, ML enabled QA, or applied ML engineering
• Strong software engineering skills for building repeatable evaluation systems
• Strong written communication skills for documenting evaluation methods, results, and recommendations

Benefits

• Annual cash bonuses
• Commissions for sales roles
• Stock grants
• Comprehensive benefits package