Research Engineer building evaluations, search systems, and training agentic ML models for tool integration in AI agents. Requires strong research execution, rapid prototyping, and collaboration to productionize ideas.
Salary not listed
On-siteML Engineering
About the role
Responsibilities
Build large evals with real tool calling data, measuring where models suck in long horizon tool execution
Work on search problems for finding semantically similar tools and cached tool execution paths and plans
Train large agentic harness systems to improve session accuracy with millions of real tool calls as baseline data
SFT on agentic traces and RL models on top of agentic harness and app sandboxes
Requirements
Independently execute against research goals
Prototype and test experiments very quickly
Work with product and engineering teams to take research ideas to production in days
Strong typing/writing skills: write docs well and explain complex ideas clearly
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