- Experience in end-to-end training of production-grade VLMs
- Strong LLM training fundamentals: transformers and distributed training at scale
- Strong Python programming skills
- Pragmatic and high-ownership: you reach for the simplest thing that works and thrive in greenfield ambiguity
Nice to have:
- Leadership and 0-1 experience, especially with substantial breadth, ownership, and hands-on contributions
- Distinguished research background on VLMs or multimodal models
- Understanding of the challenges of native multimodality
- Experience building agentic computer use systems