• Strong ML foundation with deep experience in visual generative models (diffusion, transformers, or related).
• Depth in at least one of: fine-tuning, personalization, domain adaptation, data curation, targeted distillation, interpretability, or human-feedback refinement.
• Hands-on experience with PyTorch and large model training.
• A product instinct: you treat users and partners as collaborators and solve their specific problems.
• Contributions to state-of-the-art image or video generation models.
• Experience working with creative partners (VFX, animation, film, design tools).
• A track record building workflows or tools that improve iteration speed and evaluation rigor.
• Familiarity with large-scale training infrastructure and distributed systems (Ray, Slurm, Kubernetes).