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
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