Machine Learning Engineer

Who you are

• BSc or MSc in Computer Science, or equivalent industry experience
• 3+ years of machine learning experience
• Experience scaling machine learning training and data pipelines
• Experience with computational geometry and geometric methods including mesh or B-Rep models
• Experience with version control, reproducibility, and deploying machine learning models
• Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
• Experience with cloud services and architectures (e.g. AWS, Azure)
• Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
• Excellent written documentation skills to document code, architectures, and experiments
• Experience working with distributed systems
• Knowledge of the design, manufacturing, AEC, or media & entertainment industries
• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

What the job involves

• 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 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 Research Engineering organization of Autodesk Research
• Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
• Support research through the construction of ML pipelines, prototypes, and reusable, testable code
• Process data and analyze feature extractions
• Analyze errors and provide solutions to problems
• Present results to collaborators and leadership