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Principal Applied Plasma Data Scientist

Reads like a ML Engineer role: putting models into production.

Everett, WA · Everett, WA, United States

Open 5 months, first seen by us 156 days ago
Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Science — team source

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you now or in the future require visa or green card sponsorship to work for Helion Energy in the United States?
From the employer’s application form

What you’ll work on

Full posting
  • Develop and validate physics-grounded ML frameworks for FRC plasma dynamics

  • Integrate ML models with simulation tools and experimental diagnostic pipelines

  • Reproduce experimental plasma conditions within ML modeling workflows

  • Write analysis scripts to parse model outputs and visualize ML-experiment correlations

  • Communicate results through reports, presentations, and technical visualizations

From the employer’s posting
Develop and validate machine‑learning frameworks for FRC plasma‑dynamics
Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines
Reproduce experimental plasma conditions within ML modeling workflows
Generate analysis scripts for post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results
Communicate results with rigor and clarity through reports, presentations, and technical visualizations

What you’ll bring

All qualifications

Core experience

  • 10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments
  • Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems
  • Experience integrating ML models with scientific‑computing 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 plasma‑dynamics modeling in pulsed‑power or electromagnetics systems
Qualification wording
10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments
Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems
Experience integrating ML models with scientific‑computing 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 plasma‑dynamics modeling in pulsed‑power or electromagnetics systems
Education & alternatives
Required Skills: - PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling - 10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments

Benefits in the posting

Full benefits wording
  • 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

From the employer’s posting.

About Helion

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.

In the employer’s words · Read in context · Company website ↗

Apply at Helion

Posting record

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Open 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026156 days ago
Recorded sightings
243
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 156

Up longer than most. Similar jobs usually come down between day 6 and day 70.

From 4,444 similar postings that came down. Coming down is not always a hire.

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  • MATLAB
  • Python
Where the posting names them
- Experience integrating ML models with scientific‑computing 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 plasma‑dynamics modeling in pulsed‑power or electromagnetics systems

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

About Helion

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 $1.5 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors including Thrive Capital, LightSpeed Venture Capital, SoftBank, and others to propel us forward. Our current prototype, Polaris, has reached record-breaking plasma temperatures of 150 million degrees Celsius (13 keV). Helion is continuing to iterate and on the path to the world's first fusion power plant, Orion.

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 Principal Applied Plasma Data Scientist specializing in physics‑grounded machine learning to accelerate experimental FRC plasma modeling. This role will focus on developing and validating advanced ML frameworks—such as differentiable‑physics models, PINNs, surrogate modeling, or hybrid physics+ML systems—while integrating these tools with simulation and diagnostics pipelines. You will support cross‑disciplinary fusion research and contribute to high‑impact 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 machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) 

  • Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven 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 post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results 

  • Collaborate with plasma‑physics, pulsed‑power, and transient‑magnetics experts to expand the fidelity and fusion‑relevance of ML‑enabled 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 physics‑grounded modeling 

  • 10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments 

  • Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems 

  • Experience integrating ML models with scientific‑computing 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 plasma‑dynamics modeling in pulsed‑power or electromagnetics systems 

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.

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Everett, WA, United States

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