Research Scientist - Long-Horizon Multi-Agent Systems
Core
Researching and building long-horizon multi-agent systems to outperform state-of-the-art in novel AI problems.
Role type
Research Scientist (Long-Horizon Multi-Agent Systems)
Builds
Novel AI systems for long-horizon reasoning, RL, and LLM post-training
Domain
Artificial Intelligence / Reinforcement Learning / Large Language Models
Deliverable
production ML models
Required skills
PhD in relevant field, publications at top conferences, long-horizon reasoning, Reinforcement Learning (RL), LLM post-training (RLHF, DPO, reward modelling), open-ended research
Preferred skills
None stated
Technologies
None stated
Responsibilities
Push novel ideas into working systems, execute knowledge across reasoning, RL, and memory, tackle problems without standardized solutions
Seniority
Early-career PhD to highly experienced
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