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Helion Energy

Develops commercial fusion generators for energy

Senior Applied Plasma Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeEverett, WA, USA$210k - $250k /yr

About the Job

Requirements

  • A PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or a related field, with an emphasis on physics-grounded modeling.
  • At least 3 years of industry or research-lab experience applying machine learning in experimental, simulation-driven, or scientific research and development environments.
  • Expertise with physics-informed or physics-constrained machine-learning methods, such as differentiable physics, physics-informed neural networks, scientific machine learning, surrogate modeling, or reduced-order models for complex physical systems.
  • Experience integrating machine-learning models with scientific-computing workflows, simulation tools, or experimental diagnostics.
  • Proficiency scripting for data parsing, model analysis, and visualization using MATLAB, Python, or similar tools.
  • Familiarity with magnetic diffusion, circuit coupling, or plasma-dynamics modeling in pulsed-power or electromagnetics systems.

Responsibilities

  • Develop and validate machine-learning frameworks for field-reversed configuration plasma dynamics, using physics-grounded machine-learning approaches such as differentiable physics, physics-informed neural networks, surrogate modeling, or hybrid physics and machine-learning systems.
  • Integrate machine-learning models with existing simulation tools and experimental-diagnostic pipelines to enable hybrid physics and data-driven validation workflows.
  • Reproduce experimental plasma conditions within machine-learning modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements.
  • Generate analysis scripts for post-processing, parsing model outputs, and visualizing correlations between machine-learning predictions and experimental results.
  • Collaborate with plasma-physics, pulsed-power, and transient-magnetics experts to expand the fidelity and fusion relevance of machine-learning-enabled modeling frameworks.
  • Communicate results through reports, presentations, and technical visualizations for research stakeholders.

Desired Qualifications

  • Fortran or high-performance-computing exposure is valuable.

About the Company

Helion Energy

Develops commercial fusion generators for energy

Helion Energy develops fusion generators to provide clean, scalable power for industries and governments. It uses a hybrid approach that combines magnetic confinement and inertial fusion driven by pulsed accelerator technology, turning fusion reactions into electricity with high-power electronics. The company aims to build smaller, cheaper, and faster-to-deploy fusion engines than competing technologies and addresses Helium-3 supply concerns relevant to advanced computing and medical imaging. Its goal is to have a commercially operating fusion plant within about six years, funded by investors, advisors, and government support.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$1.7B
Headquarters
Everett, WA
Founded
2013

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