Lead Research Engineer

Lightning AI

London, England, United Kingdom
Base: $225,000 - $275,000 usd annually; bonus/equi...
On-site
Strong expertise with pytorch deep learning frameworks
Significant experience with large-scale training or inference workloads
Deep understanding of distributed systems and parallelism strategies
Lightning AI combines developer-first software with cost-efficient, large-scale compute to take ideas from research to production

Job Summary

  • Lightning AI combines developer-first software with cost-efficient, large-scale compute to take ideas from research to production.
  • This role sits at the intersection of ML systems, AI infrastructure, performance engineering, and practical research to drive improvements across models and platforms.
  • The company offers a comprehensive benefits package including medical coverage, retirement support, and flexible work environments.

Matching Summary

Lightning AI combines developer-first software with cost-efficient, large-scale compute to take ideas from research to production.

Salary

Base: $225,000 - $275,000 USD annually; Bonus/Equity: Discretionary bonus and meaningful equity component included; Benefits: Comprehensive medical, dental, vision, pension, and paid time off

Skills & Requirements

Must-have

  • Strong expertise with PyTorch deep learning frameworks
  • Significant experience with large-scale training or inference workloads
  • Deep understanding of distributed systems and parallelism strategies
  • Hands-on experience with inference optimization techniques
  • Experience with modern ML systems tooling like TensorRT or vLLM

Nice-to-have

  • Experience contributing to open-source ML infrastructure projects
  • Experience working closely with hardware vendors or accelerator ecosystems
  • Startup experience in highly cross-functional environments
  • Experience mentoring engineers or leading technical initiatives

Key Requirements

  • Master's or PhD in Computer Science, AI, or related field
  • Proven track record leading performance optimization efforts
  • Ability to operate effectively in ambiguous, fast-moving environments

Work Rights

Not specified

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