AI Research Scientist – Structured & Spatial Modeling

<h3>📋 Description</h3> • Develop and lead research on novel ML models for structured generation and multi-modal understanding of complex visual and spatial content • Review relevant AI/ML literature to identify emerging methods in generative models and autoregressive architectures • Explore new data sources and discover techniques for leveraging structured representations in design workflows <h3>🎯 Requirements</h3> • A PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines • Publications in venues such as NeurIPS, ICLR, GECCO, MLSys, JMLR, ICML, IROS, EMNLP, MICCAI, Medical Image Analysis, IEEE TMI, ICDAR, CVPR or other high impact ML conferences and journals • Strong background applying Deep Learning techniques, particularly generative models and spatial reasoning (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) • Strong coding abilities in PyTorch <h3>🏖️ Benefits</h3> • annual cash bonuses • commissions for sales roles • stock grants • comprehensive benefits package