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Role overview
Job description
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 perform
…About this listing
- Source: Featherless AI's official careers site (via Ashby) · last confirmed on the source 4 Nov 2026
- Posted 22 Jan 2026
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What they are looking for
Skills & requirements
Department · Research
Hiring company
Featherless AI
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$381K – $510K/yr
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