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Principal Research Scientist at well-funded industrial AI startup

Are you a PhD-level researcher passionate about merging physics with deep learning? We are looking for a Principal Research Scientist to lead high-impact initiatives in physics-informed ML for a well-funded industrial AI startup. This is a unique opportunity to see your theoretical breakthroughs implemented in real-world energy systems, working alongside a world-class team to solve complex spatiotemporal modeling challenges. If you have a track record of top-tier publications and a desire to bridge the gap between scientific rigor and production-grade engineering, this remote-friendly role offers the perfect platform for your expertise.

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Location

Remote

Compensation

Not Disclosed

Company

Confidential company

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Role overview

You will lead the advancement of scientific foundations by merging physics with deep learning for real-time energy and industrial applications. This role bridges the gap between high-level research and production-grade systems, tasking you with developing hybrid models and neural operators that deliver measurable operational value across large-scale physical systems.

About the company

Well-funded industrial AI startup

What you will do

  • Lead research initiatives on physics-informed ML, hybrid modeling, and neural operators to optimize complex industrial systems.
  • Design and evaluate rigorous experiments, quantifying performance improvements against operational metrics and baseline datasets.
  • Partner with engineering and product teams to productionize research outcomes, ensuring reproducibility and scalability in deployment.

Who this is a fit for

  • Holds a PhD in Computer Science, Physics, or Applied Mathematics with a strong record of publications at top-tier venues like NeurIPS or ICML.
  • Possesses deep technical expertise in Python and frameworks such as PyTorch, JAX, or TensorFlow, alongside experience with scalable ML tools.
  • Demonstrates a proven ability to bridge the gap between academic research and practical constraints within energy or industrial contexts.

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Why this role is remarkable

  • Influence the cutting edge of physics-informed machine learning by applying theoretical breakthroughs to tangible, real-world industrial challenges.
  • Join a high-calibre team backed by top-tier VCs, operating at the intersection of computational modeling and scalable AI infrastructure.
  • Take ownership of the full research lifecycle, from designing novel algorithms to seeing them deployed in mission-critical production environments.

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