Key skills
PythonAIMachine LearningML
About this role
Role Overview
- Designing world state representations that persist across time, entities, and events
- Modeling cause and effect in real operational workflows
- Building reasoning systems that operate with partial observability and delayed outcomes
- Developing evaluation methods for agents running in production
- Translating research ideas into systems that are deployed and iterated on
- Collaborating closely with senior researchers and engineers to see how work affects system behavior in the real world
Requirements
- Current PhD student in CS, AI, ML, Robotics, or a closely related field
- Strong research record (publications or equivalent contributions)
- Hands-on experience implementing research ideas in code
- Solid foundations in machine learning and statistical reasoning
- Experience with deployed or real-world ML systems
- Prior industry or applied research experience
- Strong Python and ML systems skills
Tech Stack
- Python