Member of Technical Staff - Research Engineer
At a glance
Senior AI Research role at Composio. San Francisco · full-time · no salary stated · we estimate $226,375–$297,000.
Composio has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build evaluations from real tool-use data to find where models struggle with extended sequences of actions
- Develop search methods that surface similar tools and previously cached execution routes or plans
- Train agent systems using millions of tool calls, then fine-tune on traces and apply reinforcement learning
- Move research concepts into working products by partnering with product and engineering teams
What you bring
- You can drive research toward defined goals independently and test prototypes quickly
- You explain technical ideas clearly in writing and in conversation
- You build trust with teammates and are open about what you do not know
Who this fits
This senior research engineering role suits someone who can carry research from experiments into production. It is based on-site in San Francisco.
From the employer
At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools.
We raised a $25M Series A from Lightspeed with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customer range from your friends in the YC batch to Wabi, Glean, Zoom and many more.
What you'll do?
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 our agentic traces and RL models on top of our agentic harness and app sandboxes.
"Must haves"
if you are very good, nothing is a must per-se
research
you can independently execute against the research goals
you can prototype and test experiments very quickly
you can work with product and engineering teams to take research ideas to production in a matter of days
typist — you can write docs well and explain complex ideas clearly
human — you build trust and admit what you don’t know