Startups · AI

Research Engineer, AI/ML Systems

Lightning AI · London, England, United Kingdom; New York, New York, United States; Remote; San Francisco, California, United States;... · Remote

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About Lightning AI

From the PyTorch Lightning creators. Own your AI, don. Backed by Index.

About the role

We're looking for a curious, adaptable Research Engineer who enjoys solving difficult technical problems and building across the AI stack to join our Research Engineering function here at Lightning.

What they're looking for

  • Experience building, training, evaluating, or experimenting with deep learning models
  • Hands-on experience with deep learning frameworks such as PyTorch
  • Strong software engineering fundamentals building software and debugging and problem-solving skills, with the ability to investigate unfamiliar technical challenges
  • Curiosity, initiative, and a demonstrated ability to quickly learn new technologies and technical domains
  • Excellent communication and collaboration skills, including the ability to work effectively across research, product, infrastructure, and customer-facing engagements
  • Comfortable working in fast-moving, ambiguous environments where priorities evolve over time
More about this role

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company...

Read the full posting on Lightning AI's site ↗

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