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Hadron Energy, Inc.

Artificial Intelligence Researcher

Hadron Energy, Inc., San Francisco, California, United States, 94199

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This range is provided by Hadron Energy, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$150,000.00/yr - $300,000.00/yr Additional compensation types

Annual Bonus and Stock options Direct message the job poster from Hadron Energy, Inc. Founder & CEO of Hadron Energy | Engineer Providing Clean Energy | Global Engineering Leader | International Standards & Certifications Scholar

Company Description Hadron Energy specializes in Micro Modular Reactor (MMR) development, design, and research based in the San Francisco Bay Area. As the leading MMR developer, Hadron Energy is building factory‑produced, transportable microreactors that provide 24/7 carbon‑free power for data centers, government facilities, industrial sites, and remote communities. Our mission is to create a brighter, healthier, and more equitable energy future. Artificial Intelligence Researcher – Role Description This is a full‑time on‑site role for an

Artificial Intelligence Researcher , based in the San Francisco Bay Area. The position is ideal for candidates with a strong background in artificial intelligence, machine learning, and applied research who are passionate about using AI to accelerate scientific discovery, engineering design, and operational excellence in the clean energy sector. The Artificial Intelligence Researcher will lead and conduct research in advanced AI methodologies, including large language models (LLMs), machine learning optimization, reinforcement learning, and digital twin simulations, to support Hadron Energy’s engineering, manufacturing, and regulatory workflows. This individual will collaborate closely with cross‑functional teams to develop, evaluate, and implement novel AI‑driven approaches that enhance predictive modeling, automation, and decision‑making across the company. You will play a pivotal role in establishing Hadron’s AI research capabilities—bridging the gap between cutting‑edge AI science and practical deployment within one of the most advanced technology frontiers: next‑generation nuclear energy. Responsibilities

Conduct applied research in

machine learning, natural language processing, reinforcement learning, and generative AI Develop and prototype

AI models and algorithms

for optimization, automation, and data‑driven decision support Explore AI applications for

reactor design, thermal modeling, system control, and digital twin simulation Collaborate with engineering and data science teams to

integrate research outcomes

into software tools, simulations, and automation platforms Stay at the forefront of AI research, identifying emerging methods and frameworks with potential relevance to clean energy systems Evaluate and fine‑tune large pre‑trained models (e.g., LLMs, multimodal models) for internal use cases such as documentation, workflow automation, or R&D analysis Publish internal research findings, white papers, and technical documentation to guide future AI initiatives Partner with the Artificial Intelligence Engineer to translate research results into deployable solutions Design experiments, analyze results, and ensure model reliability, explainability, and compliance with ethical AI standards Contribute to Hadron’s AI strategy and roadmap by identifying high‑impact research directions aligned with business and technology objectives Qualifications & Skillsets

Bachelor’s, Master’s, or PhD in

Computer Science, Artificial Intelligence, Machine Learning, Data Science, or Applied Mathematics 5+ years of research or applied development experience in

AI, ML, or computational modeling Strong proficiency in

Python , with experience using frameworks such as

PyTorch, TensorFlow, JAX, or Hugging Face Demonstrated ability to conduct

end‑to‑end AI research

— from hypothesis formulation to model development, validation, and deployment Understanding of

optimization algorithms, probabilistic modeling, and data‑driven simulation Familiarity with

large language models (LLMs), multimodal systems, and generative AI Experience with

scientific computing and simulation environments

(COMSOL, MATLAB, or custom tools) is a plus Strong analytical, mathematical, and experimental design skills Excellent communication and technical writing abilities, with experience presenting complex ideas to multidisciplinary teams Curiosity‑driven mindset with a passion for exploring AI applications that drive innovation in clean energy and advanced manufacturing Seniority level

Mid‑Senior level Employment type

Full‑time Job function

Engineering and Research Industries

Nuclear Electric Power Generation and Energy Technology Referrals increase your chances of interviewing at Hadron Energy, Inc. by 2x Medical insurance Vision insurance Tuition assistance

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