Founding ML Research Engineer
Core
Build evaluation systems, post-train large language models, and develop model routing to improve product quality and agent reliability.
Role type
Founding ML Research Engineer (LLM post-training & evaluation)
Builds
Production ML models, evaluation systems, and agent routing logic
Domain
Generative AI, Large Language Models, Agent Systems
Deliverable
production ML models
Required skills
LLM post-training (SFT, preference tuning, distillation), evaluation system design, model routing, adversarial testing, Python, TypeScript
Preferred skills
Red teaming, browser/computer-use agents, long-running memory systems
Technologies
Python, TypeScript, LLM frameworks
Responsibilities
Build evaluation systems using real conversations; Post-train LLMs with supervised fine-tuning and distillation; Develop and evaluate model routing; Test adversarial inputs and build safeguards; Apply ML to memory, retrieval, and tool selection; Review conversations to set research direction.
