AI Researcher — Distillation

Remote, Worldwide

About the Role

We’re looking for an AI Researcher focused on model distillation to help us push the frontier of efficient, high-performance models. You’ll work on turning large, expensive models into smaller, faster, and more deployable systems—while maintaining or improving quality.

This role is ideal for someone who enjoys publishing research , working close to real systems, and seeing their ideas move from papers → code → production.

What You’ll Work On

Design and evaluate model distillation techniques (teacher–student training, self-distillation, layer-wise distillation, representation matching, etc.)

Research tradeoffs between model size, latency, memory, and accuracy

Develop novel distillation approaches for:

Large language models

Long-context or specialized architectures

Inference-constrained environments

Run large-scale experiments and ablations; analyze results rigorously

Collaborate with engineers to productionize research outcomes

Write and submit research papers to top-tier venues (NeurIPS, ICML, ICLR, COLM, etc.)

Contribute to internal research notes, technical blogs, and open-source projects when appropriate

What We’re Looking For

Required

Strong...