AECCafe
Machine Learning Engineer 3D Geometry/ Multi-Modal
AECCafe, San Rafael, California, United States, 94911
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.Responsibilities
Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineersSupport research through the construction of ML pipelines, prototypes, and reusable, testable codeProcess data and analyze feature extractionsAnalyze errors and provide solutions to problemsPresent results to collaborators and leadershipMinimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience3+ years of machine learning experienceExperience scaling machine learning training and data pipelinesExperience with computational geometry and geometric methods including mesh or B-Rep modelsExperience with version control, reproducibility, and deploying machine learning modelsExperience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometryExperience 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 experimentsPreferred Qualifications
Experience working with distributed systemsKnowledge of the design, manufacturing, AEC, or media & entertainment industriesExperience with Autodesk or similar products
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Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineersSupport research through the construction of ML pipelines, prototypes, and reusable, testable codeProcess data and analyze feature extractionsAnalyze errors and provide solutions to problemsPresent results to collaborators and leadershipMinimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience3+ years of machine learning experienceExperience scaling machine learning training and data pipelinesExperience with computational geometry and geometric methods including mesh or B-Rep modelsExperience with version control, reproducibility, and deploying machine learning modelsExperience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometryExperience 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 experimentsPreferred Qualifications
Experience working with distributed systemsKnowledge of the design, manufacturing, AEC, or media & entertainment industriesExperience with Autodesk or similar products
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