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Über
We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone.
Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant.
This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths - values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait.
What You Will Be Doing:
Helion is hiring a Plasma Data Scientist specializing in physicsgrounded machine learning to accelerate experimental FRC plasma modeling. This role will focus on developing and validating advanced ML frameworks-such as differentiablephysics models, PINNs, surrogate modeling, or hybrid physics+ML systems-while integrating these tools with simulation and diagnostics pipelines. You will support crossdisciplinary fusion research and contribute to highimpact modeling that informs experimental design and interpretation. This onsite position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing fusion electricity development.
You Will: Develop and validate machinelearning frameworks for FRC plasmadynamics, leveraging physicsgrounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) Integrate ML models with existing simulation tools and experimentaldiagnostic pipelines to enable hybrid physics + datadriven validation workflows Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements Generate analysis scripts for postprocessing, parsing model outputs, and visualizing correlations between MLbased predictions and experimental results Collaborate with plasmaphysics, pulsedpower, and transientmagnetics experts to expand the fidelity and fusionrelevance of MLenabled modeling frameworks Communicate results with rigor and clarity through reports, presentations, and technical visualizations for research stakeholders Required Skills:
PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physicsgrounded modeling 10+ years of industry or researchlab experience applying machine learning in experimental, simulationdriven, or scientific R&D environments Expertise with physicsinformed or physicsconstrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reducedorder models for complex physical systems Experience integrating ML models with scientificcomputing workflows, simulation tools, or experimental diagnostics Proficiency scripting for data parsing, model analysis, and visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) Familiarity with magnetic diffusion, circuit coupling, or plasmadynamics modeling in pulsedpower or electromagnetics systems
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Benefits
Our total compensation package includes benefits, including but not limited to: • Medical, Dental, and Vision plans for employees and their families • 31 Days of PTO (21 vacation days and 10 sick days) • 10 Paid holidays, plus company-wide winter break • Up to 5% employer 401(k) match • Short term disability, long term disability, and life insurance • Paid parental leave and support (up to 16 weeks) • Annual wellness stipend
Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.
Sprachkenntnisse
- English
Hinweis für Nutzer
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