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Machine Learning Engineer (Simulations)

Engineering

About the Role

Location: Remote / 20% Travel to Austin, TX or Los Angeles, CA
Position Type: Full-Time (6-Month Temp-to-Hire)


Job Description


Key Responsibilities:

  • Develop and implement machine learning algorithms to enhance fusion energy simulations.

  • Collaborate with physicists and engineers to translate complex scientific data into actionable models.

  • Optimize ML models for performance, scalability, and accuracy in predicting plasma behavior and energy output.

  • Maintain and improve existing ML pipelines, ensuring they are robust and scalable.


Qualifications:

  • Bachelor’s degree in computer science, data science, or a related field; advanced degree preferred.

  • 5+ years of experience in machine learning, with a focus on simulations or scientific data.

  • Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.

  • Strong understanding of data science methodologies and statistical analysis.


What We Offer:

  • Competitive salary and benefits package.

  • Equity in the company as part of the compensation offering.

  • Remote work with a 6-month temp-to-hire period to assess fit and performance.

  • 6-week summer vacation.

  • Opportunity to apply machine learning in groundbreaking fusion energy research.

  • Collaborative and innovative work environment.


Application Instructions:
Hit 'Apply' to submit your resume. While submitting a short video (up to 2 minutes) showcasing your experience and passion for fusion energy is optional, video submissions will be prioritized and will automatically advance candidates to the interview stage.

About the Company

Kronos Fusion Energy is at the cutting edge of the global energy revolution, developing a series of innovative fusion energy generators designed for diverse applications, from space missions to urban power grids and high-temperature industrial processes. Our products include the StarCore Power Module, Aegis Tactical Power Core, Voyager Power System, MetroVolt Grid Engine, and Inferno-X High-Temp Reactor.

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