Principal Research Scientist - Datasets at Autodesk Research

Job Requisition ID #26WD97998Position OverviewAs a Principal Research Scientist - Datasets at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.

We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.

This role will report to the Research Dataset Creation & Annotation Manager in the AI Lab.

ResponsibilitiesDevelopment of specialized datasets to evaluate, fine-tune, and train large 2D & 3D models for Design & MakeDesign engineering benchmarks and evaluation frameworks, including task formulation, metric selection, and validation protocols, to assess model and dataset qualityDrive data collection projects from start to finish by gathering requirements, defining success metrics, and adjusting to the dynamic requirements of AI ResearchReview relevant AI/ML literature to identify emerging methods, technologies, and best practicesExplore new data sources and discover techniques for best leveraging dataMinimum QualificationsA Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplinesGood background in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.)Strong coding abilities in Python and/or C++Preferred QualificationsExperience in Product Design & Manufacturing or other Autodesk domains2D & 3D Generative AILLMs and Natural Language ProcessingMulti-modal deep learning and/or information retrievalComputational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)Publication track record at relevant conferencesSignificant post-graduate research experience, or 5 or greater years of work experienceAt 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.

Learn 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 - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made 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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & BelongingWe take pride in cultivating a culture of belonging where everyone can thrive.

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