Autodesk, Inc.
Machine Learning Developer 3D Geometry/ Multi-Modal
Autodesk, Inc., San Francisco, California, United States, 94199
Machine Learning Developer 3D Geometry/ Multi-Modal
Job Requisition ID #
24WD82447Locations:
Toronto, CanadaPosition OverviewThe 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.ResponsibilitiesCollaborate on projects at the intersection of research and product with a diverse, global team of researchers and developers.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 QualificationsBSc 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 QualificationsExperience working with distributed systems.Knowledge of the design, manufacturing, AEC, or media & entertainment industries.Experience with Autodesk or similar products.Salary TransparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
Diversity and BelongingAre you an existing contractor or consultant with Autodesk?Please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr
Job Requisition ID #
24WD82447Locations:
Toronto, CanadaPosition OverviewThe 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.ResponsibilitiesCollaborate on projects at the intersection of research and product with a diverse, global team of researchers and developers.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 QualificationsBSc 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 QualificationsExperience working with distributed systems.Knowledge of the design, manufacturing, AEC, or media & entertainment industries.Experience with Autodesk or similar products.Salary TransparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
Diversity and BelongingAre you an existing contractor or consultant with Autodesk?Please search for open jobs and apply internally (not on this external site).
#J-18808-Ljbffr