Autodesk Research
PrincipalResearchScientist-Datasets
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“Principal Research Scientist - Datasets at Autodesk Research. Skills: Dataset creation, Model training, Evaluation frameworks, AI/ML research. Develop specialized datasets. Evaluate 2D & 3D models”
Industry & Context.
Model quality assessment; Dataset quality assessment
What They're Looking For.
Must Have
Master's or PhD, Statistical methods for ML, Deep Learning techniques, Python or C++ coding
Nice to Have
Product Design & Manufacturing experience, 2D & 3D Generative AI experience, LLMs and NLP experience, Multi-modal deep learning experience, Information retrieval experience, Computational geometry experience, Geometric methods experience, Geometric deep learning experience, Graph neural networks experience, Publication track record, 5+ years work experience
What You'll Do.
Develop specialized datasets
Evaluate 2D & 3D models
Fine-tune 2D & 3D models
Design engineering benchmarks
Design evaluation frameworks
Assess dataset quality
Drive data collection projects
Define success metrics
Adjust to dynamic requirements
Review AI/ML literature
Identify emerging methods
Identify emerging technologies
Identify best practices
Explore new data sources
Discover techniques for leveraging data
How You'll Work.
Team & Collaboration
Scientists, researchers, engineers, designers
Full Job Description
**Job Requisition ID #** 26WD97998 **Position Overview** As 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. **Responsibilities** * Development of specialized datasets to evaluate, fine-tune, and train large 2D & 3D models for Design & Make * Design engineering benchmarks and evaluation frameworks, including task formulation, metric selection, and validation protocols, to assess model and dataset quality * Drive data collection projects from start to finish by gathering requirements, defining success metrics, and adjusting to the dynamic requirements of AI Research * Review relevant AI/ML literature to identify emerging methods, technologies, and best practices * Explore new data sources and discover techniques for best leveraging data **Minimum Qualifications** * A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines * Good 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 Qualifications** * Experience in Product Design & Manufacturing or other Autodesk domains * 2D & 3D Generative A
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