Principal Machine Learning Engineer, 3D

Job Requisition ID #
24WD82633

Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Principal Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.

You will report to a research manager in the Autodesk AI Lab team within Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.

Responsibilities

1. Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers.
2. Develop new or improve existing ML models used in CAD software.
3. Process data and analyze feature extractions.
4. Design solutions based on error analysis.
5. Present results to collaborators and leadership.
6. Review relevant AI/ML literature to identify emerging methods, technologies, and best practices.

Minimum Qualifications

1. BSc or MSc in Computer Science, or equivalent industry experience.
2. 3+ years of software development experience.
3. Proficiency with modern deep learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray etc.).
4. Experience with deploying machine learning models in production settings.
5. Experience with version control, reproducibility, and writing reusable, testable code.
6. Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry.
7. Experience with cloud services and architectures (e.g. AWS, Azure).
8. Excellent written documentation skills to document code, architectures, and experiments.

Preferred Qualifications

1. Experience scaling ML training and data pipelines.
2. Experience working with distributed systems.
3. Knowledge of the design, manufacturing, AEC, or media & entertainment industries.
4. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.).