Remote-Eligible Research Engineer, AI Systems

Lightningai

Greater London

Hybrid

GBP 123,000 - 231,000

Full time

4 days ago
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Benefits offered by this job

Health Coverage
Equity
Retirement Savings
Flexible PTO
Winter Break
Parental Leave
Professional Development
Wellness Stipends
Sabbatical
Flexible Work
In-Office Meals

Job summary

Lightning AI is hiring a Research Engineer to advance post-training AI systems across the ML stack. You will build, evaluate, and scale training workloads, and contribute to open-source projects while collaborating with research, product, and infrastructure teams.

The role blends ML engineering, software development, and platform work in a fast-moving startup environment, with hybrid work and in-office days at hub locations including London.

Qualifications

  • Experience building, training, evaluating, or experimenting with deep learning models.
  • Hands-on experience with deep learning frameworks such as PyTorch.
  • Strong software engineering fundamentals and debugging skills.
  • Curiosity and ability to learn new technologies quickly.
  • Excellent communication and collaboration across teams including research and product.
  • Comfortable in fast-moving, ambiguous environments with evolving priorities.
  • Bachelor’s degree in CS, Engineering, or a related field, or equivalent experience.

Responsibilities

  • Develop and post-train models, and build systems to run, evaluate, debug, and scale training workloads.
  • Build software, tooling, and platform capabilities for researchers, developers, and customers.
  • Contribute to open-source projects and collaborate with the broader developer community.
  • Work across deep learning systems, tooling, backend services, and infrastructure.
  • Collaborate with customers to understand real-world AI workloads and translate learnings into improvements.
  • Prototype ideas, evaluate approaches, and turn experiments into production code.
  • Partner with research, product, and infrastructure teams to improve developer experience and AI workflows.
  • Debug complex ML and distributed system problems and learn new technologies quickly.

Skills

Deep Learning
PyTorch
Software Engineering
Learning New Technologies
Communication & Collaboration
Adaptability
Bachelor's degree in CS/Engineering

Education

Bachelor's degree in Computer Science or Engineering
Master's degree or higher in CS/ML/AI

Tools

CUDA
Hugging Face
DeepSpeed
Triton
vLLM

Job description

Lightning AI is hiring a Research Engineer to advance post-training AI systems across the ML stack. You will build, evaluate, and scale training workloads, and contribute to open-source projects while collaborating with research, product, and infrastructure teams.

The role blends ML engineering, software development, and platform work in a fast-moving startup environment, with hybrid work and in-office days at hub locations including London.

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