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

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++

Principal Research Scientist – Datasets

Key skills