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 performance
* Implement ideas from recent research papers using large-scale datasets
* Collaborate with engineering teams to refine training workflows
* Contribute to the development of robust baselines and scalable pipelines
What 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 scale
* Ability to translate research into practical implementations
* Background in generative models and/or 3D data is a plus