Research Engineer / Scientist, Post-Training

You will pioneer post-training techniques that improve how well LLMs can be integrated into complete agentic systems. 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.

• Proficiency in python and deep learning frameworks eg. PyTorch
• Expertise in post-training techniques e.g. SFT fine-tuning, reinforcement learning, reward models, preference learning
• Ability to balance execution speed with empirical rigor