Job Requisition ID #23WD74274Position OverviewAs a Machine Learning Operations Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers doing fundamental and applied research that will help our customers imagine, design, and make a better world. You are a software engineer who is passionate about building things, and deploying solutions. You are excited to collaborate with our Research Scientists to perform experiments and deploy state-of-the-art generative AI algorithms. You are comfortable serving as a translator and straddling the gap between research & development.The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.Reporting to: Senior ManagerResponsibilitiesConfiguring infrastructure to enable model training and hyperparameter tuningImplementing scaling techniques for training large modelsOptimizing the computational performance and data size of deployed large modelsSupporting research through the construction of experimental pipelines, prototypes, and reusable codeCollaborating on research projects and papers with a diverse, global team of researchers and engineersMinimum Qualifications BSc or MSc in Computer Science, or equivalent industry experience2+ years of experience with deep learning and generative modelsExperience with cloud services & architectures for deploying large models (AWS, Azure, etc.)Experience with version controlling, reproducibility, and deploying machine learning modelsStrong data modelling and data architecture skillsProficiency with modern deep learning libraries and frameworksProficiency in coordinating, provisioning, and maintaining systems and compute infrastructurePreferred QualificationsExperience scaling ML training pipelinesExperience deploying large modelsExperience with sync/async distributed methods for data/model parallelismExperience working in large distributed systemsMulti-modal deep learning and/or information retrievalKnowledge of the design, manufacturing, AEC, or media & entertainment industriesExperience with Autodesk or similar products (CAD, CAE, CAM, etc.)The Ideal Candidate A Software Engineer with experience building and deploying robust machine learning systemsFamiliar with implementing experimental pipelines and prototyping AI applicationsComfortable building prototypes from scratch and writing maintainable code within existing codebasesWho is excited to learn & develop new technologiesWho can effectively collaborate across global locations#LIPOST#Li-KJ1Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!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: https://www.autodesk.com/company/diversity-and-belongingAre you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
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