Machine Learning Engineer , Distillation
About the role
Location: Worldwide About the Role We’re looking for a Machine Learning Engineer focused on model distillation to help us build smaller, faster, and more efficient models without sacrificing quality. You’ll work at the intersection of research and production, taking cutting-edge techniques and turning them into systems that scale. This is a hands-on role with real ownership: you’ll design distillation pipelines, run large-scale experiments, and ship models used in production. What You’ll Do • Design and implement knowledge distillation pipelines (teacher, student, self-distillation, multi-teacher, etc.) • Distill large foundation models into smaller, faster, and cheaper models for inference • Run and analyze large-scale training experiments to evaluate quality, latency, and cost tradeoffs • Collaborate with research to translate new distillation ideas into production-ready code • Optimize training and inference performance (memory, throughput, latency) • Contribute to internal tooling, evaluation frameworks, and experiment tracking • (Optional) Contribute back to open-source models, tooling, or research What We’re Looking For • Strong background in machine learning or deep learning • Hands-on experience with model distillation (LLMs or other neural networks) • Solid understanding of trainin