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Remote Machine Learning Engineer — Inference Optimization

at Featherless AI

Posted 2 months ago

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Description:

  • Own and optimize model inference performance at scale for large-scale ML models.
  • Work at the intersection of research and production to create fast, reliable, and cost-efficient systems.

Requirements:

  • Strong experience in ML inference optimization or high-performance ML systems.
  • Solid understanding of deep learning internals (attention, memory layout, compute graphs).
  • Hands-on experience with PyTorch (or similar) and model deployment.
  • Familiarity with GPU performance tuning (CUDA, ROCm, Triton, or kernel-level optimizations).
  • Experience scaling inference for real users.
  • Comfortable in fast-moving startup environments with ownership and ambiguity.

Benefits:

  • Real ownership over performance-critical systems.
  • Direct impact on product reliability and unit economics.
  • Close collaboration with research, infra, and product teams.
  • Competitive compensation + meaningful equity at Series A.
  • A team that values engineering quality over hype.

Job title

Machine Learning Engineer

Job type

Full-time

Experience level

Senior

Required experience

-

Salary

-

Degree requirement

No degree required

Skills

Machine Learning Deep learning Large Language Models PyTorch CUDA

Location requirements

🌍 Worldwide

Benefits

Equity compensation Competitive salary

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