Post-Training Research Scientist
Core
Pursue open research problems at the intersection of post-training methodology and performant inference, translating findings into production systems for AI companies.
Role type
Senior IC post-training research scientist
Builds
Production inference systems and research outputs for AI companies
Domain
AI/ML, post-training, inference optimization
Deliverable
production ML models
Required skills
post-training methodology, performant inference, experimental design, large-scale model training, research agenda definition, customer requirement translation, top-tier publication record, open-source contributions
Preferred skills
interpretability, RL, systems, training methodology, startup environment adaptability, community building
Technologies
multi-node clusters, trillion parameter models, neural KV cache
Responsibilities
Define and execute a research agenda spanning foundational and applied work; Design and run rigorous experiments at meaningful scale; Collaborate with customers to translate requirements into research problems; Publish at top venues; Bridge research findings with inference production systems; Mentor junior researchers
Seniority
Senior, hands-on IC with mentorship responsibilities