Research Scientist

Job Posted 16 Days Ago Reposted 16 Days Ago
San Francisco, CA
Hybrid
250K-500K Annually
Senior level
Artificial Intelligence • Machine Learning • Other
The Role
Lead research in AI-assisted software development, craft research questions, run ML experiments, mentor a team, and communicate ideas.
Summary Generated by Built In

Summary

At Imbue, we believe technology should be human-centered. In this role, you’ll work with other scientists and engineers to build collaborative agentic products that help people build software. We’re looking for impact-oriented people who want to help invent a new paradigm of programming using AI agents, with a focus on improving code output and the oversight of agents and software.


Research Areas of Interest

RL methods for LLMs

Code verification, including techniques such as test generation and LLM-as-a-judge

Reasoning agents

Synthetic data generation


You Will

Lead research initiatives in AI-assisted software development, from zero to one

Develop SotA LLMs on agentic coding tasks via supervised and RL post-training

Turn ambiguous problems into quantifiable ones, through a mixture of annotation, synthetic data generation, and product logging

Keep up to date with state-of-the-art techniques, and use good judgment on when to apply them

Design and run ML experiments to drive a broader research agenda

Solve novel problems at the intersection of coding agents, human-agent interaction, and user-centric AI product development


You Have

 A track record of high-quality papers, open-source projects, or equivalent accomplishments in industry. 

Experience with empirical research, with the ability to craft and execute on research projects that solve algorithmic and engineering problems

Great intuition with the ability to identify promising areas and avoid dead ends

A preference for fast, collaborative research efforts

5+ years ML coding and/or research experience


Compensation and Benefits

Generous compensation, equity, and benefits.

Actively co-create and participate in a positive, intentional team culture.

Frequent team events, dinners, off-sites, and hanging out.

$20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.

Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $250,000–$500,000 cash, $1M-$5M in equity



How to apply

All submissions are reviewed by a person, so we encourage you to include a cover letter. If you have any other work that you can showcase (specific publications, open source code, side projects, etc), you should certainly include it!


We try to reply either way within a week or two at most (usually much sooner).


We know that talent comes from many backgrounds, and with many different skills and preferences. That’s why we have a hiring process that gives you the ability to showcase yourself in a variety of different ways, depending on what feels best for you.


Learn more about our full interview process here.



About us

Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents.


We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.

Top Skills

AI
Empirical Research
Llms
Machine Learning
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The Company
HQ: San Francisco, CA
15 Employees
Hybrid Workplace
Year Founded: 2021

What We Do

We build AI systems that can reason, in order to enable AI agents that can accomplish larger goals and safely work for us in the real world. To do this, we train foundation models optimized for reasoning. On top of our models, we prototype agents to accelerate our own work, seriously using them in order to shed light on how to improve the underlying model capabilities, as well as the interaction design for agents.

We aim to rekindle the dream of the *personal* computer—for computers to be truly intelligent tools that empower us, giving us freedom, dignity, and agency to do the things we love.

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