Overview: We're looking for a research-focused ML engineer to design and run experiments that improve large-scale generative models. You'll explore new ideas from recent research, run ablation studies, and help integrate insights into production-ready training pipelines.What You'll Do:Design and run experiments to evaluate and improve model performanceImplement ideas from recent research papers using large-scale datasetsCollaborate with engineering teams to refine training workflowsContribute to the development of robust baselines and scalable pipelinesWhat We're Looking For:Strong Python skills and experience with ML frameworks (e.g., PyTorch, JAX)Familiarity with model fine-tuning and training evaluation at scaleAbility to translate research into practical implementationsBackground in generative models and/or 3D data is a plus