Summary
This role is about investigating the fundamental questions of intelligence, knowledge and understanding in order to develop software with human level intelligence. You will collaborate internally and externally with other researchers, and be supported by a team of research engineers.
Research Areas of Interest
• RL methods for LLMs
• Code verification and test generation
• Improvements to chain of thought
• Decoding time algorithms for LLMs
• Synthetic data generation
• Language model interfaces to code
You are
• A highly accomplished machine learning researcher (e.g., a track record of high quality papers at top conferences like NeurIPS, ICML, ICLR, etc., or equivalent accomplishments in industry).
• Able to create research questions that clarify the nature of the problem being solved, and coordinate a research program to successfully answer those questions.
• Extremely comfortable running ML experiments.
• Able to clearly communicate about your ideas and intuitions.
• Excited to mentor a small team of great research engineers.
Compensation and Benefits
• Work directly on answering the fundamental questions of intelligence, learning, and knowledge, free from politics and pressures to publish or commercialize your research.
• 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 (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. We train our own foundation models optimized for reasoning and prototype agents on top of these models. 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
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.
