Principal Research Scientist at well-funded industrial AI startup

Jack & Jill/External ATS

1d • Remote

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree