Senior ML QA Engineer - Automation, CI/CD & MLOps

Autodesk; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

Autodesk is looking for a Senior Machine Learning Test Engineer to join the Research Enablement team in Boston, Massachusetts. This role involves defining quality standards for ML systems, automating QA workflows using Python, and collaborating with researchers and developers. Candidates should have a Bachelor’s degree in Computer Science or Engineering and over 7 years of experience in software engineering or QA for ML systems. Strong programming skills in Python and familiarity with CAD software are essential. Create a significant impact by ensuring the quality and reliability of ML models and systems.

Qualifications

• 7+ years of professional experience in software engineering or QA for ML/AI systems.
• Strong programming skills in Python, with experience in test automation.
• Experience designing QA frameworks or platforms used by multiple teams.

Responsibilities

• Define ML quality strategy and acceptance criteria across data, model, and system levels.
• Design and maintain model evaluation suites, metrics, and test datasets.
• Automate ML QA workflows using Python and CI/CD tools.

Skills

Python programming

Test automation

Quality assurance

Collaboration

Problem-solving

Attention to detail

Education

Bachelor’s degree in Computer Science or Engineering

Tools

CAD software

CI/CD tools

Data validation tools

ML frameworks

Cloud platforms

Job description

Autodesk is looking for a Senior Machine Learning Test Engineer to join the Research Enablement team in Boston, Massachusetts. This role involves defining quality standards for ML systems, automating QA workflows using Python, and collaborating with researchers and developers. Candidates should have a Bachelor’s degree in Computer Science or Engineering and over 7 years of experience in software engineering or QA for ML systems. Strong programming skills in Python and familiarity with CAD software are essential. Create a significant impact by ensuring the quality and reliability of ML models and systems.