#24WD82447
ill report to a research manager in the Research Engineering organization of Autodesk Research.
Our teams are located in Toronto, Canada, San Francisco, CA and London, U
Responsibilities
Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and developer
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
Minimum Qualifications
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, Lightning, Ray)
Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
Experience working with distributed systems
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products
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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