Job Requisition ID #
26WD98377
Senior Machine Learning Test Engineer
Location: United States East Coast
Position Overview
As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and developers, and software developers and developers to define and uphold quality standards for ML systems. You are a quality-focused developer 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 States, East Coast Time Zone.
We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotly, 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
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
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