Machine Learning Cloud Optimization Engineer Remote orHybrid Job Requisition ID # 25WD85970 Position Overview The work wedo at Autodesk touches nearly every person on the planet. Bycreating software tools for making buildings, machines, and eventhe latest movies, we influence and empower some of the mostcreative people in the world. As a Machine Learning Engineer atAutodesk Research, you will work side-by-side with world-classresearchers and engineers to build new ML-powered product featuresto help our customers imagine, design, and make a better world. Youare a software engineer who is passionate about solving problemsand building things. You are excited to collaborate with AIresearchers to implement generative AI features in Autodeskproducts. You will report to a research manager in the ResearchEngineering organization of Autodesk Research. We are a globalteam, located in London, San Francisco, Toronto, and remotely. Forthis role we support both in-person, hybrid, and remote work.Responsibilities 1. Profile and optimize machine learning tasks andcode 2. Write efficient code for machine learning tasks, focusingon software rather than hardware 3. Understanding of AWS Cloud,Kubernetes and Ray Framework 4. Prepare appropriate containers andinstances for various machine learning tasks 5. Train and optimizemachine learning models 6. Collaborate on projects at theintersection of research and product with a diverse, global team ofresearchers and engineers 7. Support research through theconstruction of ML pipelines, prototypes, and reusable, testablecode 8. Process data and analyze feature extractions 9. Analyzeerrors and provide solutions to problems 10. Present results tocollaborators and leadership Minimum Qualifications 1. BSc or MScin Computer Science, or equivalent industry experience 2. 3+ yearsof software development experience 3. Experience with versioncontrol, reproducibility, and deploying machine learning models 4.Experience with cloud services and architectures (e.g. AWS, Azure)5. Proficiency with modern deep learning libraries and frameworks(PyTorch, Lightning, Ray) 6. Excellent written documentation skillsto document code, architectures, and experiments PreferredQualifications 1. Experience with data modeling, architecture, andprocessing using varied data representations including 2D and 3Dgeometry 2. Experience with adding computational graph support,runtime or device backend to Machine learning libraries (PyTorch orLightning Ray) support. 3. Experience scaling ML training and datapipelines 4. Experience working with distributed systems 5.Knowledge of the design, manufacturing, AEC, or media &entertainment industries 6. Experience with Autodesk or similarproducts (CAD, CAE, CAM, etc.) Salary transparency Salary is onepart of Autodesk’s competitive compensation package. Offers arebased on the candidate’s experience and geographic location. Inaddition to base salaries, we also have a significant emphasis ondiscretionary annual cash bonuses, commissions for sales roles,stock or long-term incentive cash grants, and a comprehensivebenefits package. Diversity & Belonging We take pride incultivating a culture of belonging and an equitable workplace whereeveryone can thrive. Learn more here:https://www.autodesk.com/company/diversity-and-belonging#J-18808-Ljbffr
