Job Requisition ID #

26WD98891

Position Overview

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.

Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.

Responsibilities

Define ML quality strategy and acceptance criteria across data, model, and system levels
Design and maintain model evaluation suites, metrics, and test datasets
Evaluating CAD RL model outputs for geometric validity or policy stability
Defining structured rubrics that translate qualitative findings into measurable evaluation gates
Testing ML Models from product side
API Testing
Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)
Create and maintain test harnesses for ML services and APIs
Mentor teams on ML QA best practices and consistent evaluation standards
Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)
Contribute to multi-team projects and codebases, ensuring code quality and consistency
Participate in code reviews and provide constructive feedback to peers
Document and present findings and ideas across the company

Minimum Qualifications

Bachelor’s degree in Computer Science, Engineering, or equivalent experience
7+ years of professional experience in software engineering or QA for ML/AI systems
Strong programming skills in Python, with experience in test automation
Familiarity with popular CAD environments tooling
Proficient in Automation and UAT test suite/framework
Experience designing QA frameworks or platforms used by multiple teams
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
Understanding of software architecture and design patterns
Ability to work in an agile development environment

Preferred Qualifications

Experience with data validation tooling (e.g., Great Expectations) or labeling workflows
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
Experience with CI/CD tools and processes
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)
Familiarity with MLOps practices (model monitoring, drift, deployment checks)
Experience with ML evaluation methods, metrics, and benchmarking
Passion for learning new technologies and improving existing systems
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)
Experience testing ML services in production environments
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)

The Ideal Candidate

You demonstrate initiative to provide solutions and to learn and develop new technologies
Comfortable building QA systems from scratch and writing maintainable automation
You enjoy learning and collaborating across global locations
You are comfortable working in newly forming ambiguous areas
You are comfortable building scalable and maintainable systems that will be relied on by others
You can communicate well with others

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Learn More

About Autodesk

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We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

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Senior Machine Learning Test Engineer United Kingdom