Deep expertise in machine learning, particularly in LLMs and continual learning
Proven track record of impactful research through publications or open source contributions
Strong desire for real-world impact beyond academia
Passion for solving AI's hardest problems
Responsibilities
Develop foundational methods for AI systems that enable self-improvement
Design novel memory systems for learning from interactions
Advance state-of-the-art in self-improvement mechanisms
Research multi-agent coordination and knowledge sharing
Create evaluation frameworks for AI learning and adaptation
Publish and collaborate on research in self-improvement and continual learning
Benefits
Opportunity to work at a cutting-edge AI startup
Collaborative environment with a world-class team
Involvement in open-source projects and research contributions
Potential for significant impact in the AI field
Engage directly with customers and all parts of the tech stack
Full Job Description
Your role
You will develop methods for agents that self-improve after training. At Letta, you'll work with a world-class, tight-knit team of AI researchers and engineers towards our vision of self-improving superintelligence. Advance the field through open publishing of research through papers, technical reports, blog posts, and open-source code.
What you're Responsible For:
Developing prompt optimization and system prompt learning methods that allow agents to continuously learn from long-horizon tasks
Developing methods allow agents automatically generate and test out hypotheses in an environment, or seek out and improve their own weaknesses
Improving the efficiency of learning from long-running agentic tasks
Designing and running experiments to measure self-improvement scalably
What We're Looking For:
Expertise in machine learning, in particular LLMs and continual learning
Familiarity with agent frameworks and prompt optimization
Track record of impactful research (breakthrough publications and/or open-source contributions)
Ability to balance execution speed with empirical rigor
Real-world impact beyond pure academic work
Our culture
Signs it could be a great fit:
You want to maximize your impact: you want work on a small, incredibly talented team where every individual plays a huge role in the team's success. You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple of grad students in a garage.
You're excited to go head-to-head with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding.
You are fundamentally opposed to closed frontier AI that is controlled by a handful of billionaires and private tech companies.
Signs it's a bad fit:
You like stability, and get stressed out when there's nobody telling you exactly what to do. We look for people that thrive in ambiguity and can intuit the most important problems by talking to customers and dogfooding our product.
You want to work a 9-5, and value clear separation of work from life. The stakes are the highest they've ever been, and the only moat is execution velocity. Operating on a strict 9-5 guarantees failure.
You value titles or want to people-manage. Letta is a flat company where every researcher and engineer is an individual contributor.
