Artificial Intelligence Researcher

Description

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.

• 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
• Contribute to Hadron’s AI strategy and roadmap by identifying high-impact research directions aligned with business and technology objectives
• Design experiments, analyze results, and ensure model reliability, explainability, and compliance with ethical AI standards
• Partner with the Artificial Intelligence Engineer to translate research results into deployable solutions
• Develop and prototype AI models and algorithms for optimization, automation, and data-driven decision support
• Conduct applied research in machine learning, natural language processing, reinforcement learning, and generative AI
• Collaborate with engineering and data science teams to integrate research outcomes into software tools, simulations, and automation platforms
• Publish internal research findings, white papers, and technical documentation to guide future AI initiatives
• Explore AI applications for reactor design, thermal modeling, system control, and digital twin simulation
• Stay at the forefront of AI research, identifying emerging methods and frameworks with potential relevance to clean energy systems

Requirements

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.

• 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
• Understanding of optimization algorithms, probabilistic modeling, and data-driven simulation
• Strong proficiency in Python, with experience using frameworks such as PyTorch, TensorFlow, JAX, or Hugging Face
• Familiarity with large language models (LLMs), multimodal systems, and generative AI
• 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
• Experience with scientific computing and simulation environments (COMSOL, MATLAB, or custom tools) is a plus
• Strong analytical, mathematical, and experimental design skills
• Demonstrated ability to conduct end-to-end AI research — from hypothesis formulation to model development, validation, and deployment

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance