# Member of Technical Staff - Research Engineer

**Company:** [Composio](https://hotfix.jobs/companies/composio)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Skills:** Machine Learning, Supervised Fine-Tuning, Sft, Reinforcement Learning, Rl, Search Algorithms, Evaluation Frameworks, Tool Calling, Agentic Systems, Prototyping, Experimentation
**Posted:** 2026-02-10

> 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.

## Job Description

## 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
- Build trust and admit what you don’t know

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**Canonical:** https://hotfix.jobs/jobs/1d73e3cd-d045-4aa4-aba0-4ebb5b60d261