Job Specifications
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