Artificial Intelligence Intern

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 Intern – Role Description

This is a full-time on-site or hybrid role for an Artificial Intelligence Intern, based in the San Francisco Bay Area. The position is ideal for students or recent graduates passionate about using artificial intelligence to drive innovation, automation, and productivity within a rapidly growing clean energy company.

The Artificial Intelligence Intern will assist in developing, testing, and deploying AI-driven tools, agents, and automation systems that streamline workflows, enhance engineering efficiency, and support corporate operations. You will work closely with Hadron’s AI Engineer, software development, and engineering teams to prototype internal AI solutions, integrate APIs, and explore the use of large language models (LLMs) and automation frameworks to accelerate innovation across the organization.

This role offers an opportunity to gain hands-on experience applying AI and automation to real-world engineering and business challenges in one of the most advanced technology sectors—nuclear energy.

Responsibilities

• Support the development and testing of AI tools, scripts, and automations that enhance productivity and collaboration
• Assist in building and maintaining AI agents to optimize workflows across engineering, project management, and operations
• Prototype and deploy machine learning or natural language processing (NLP) models for internal use cases
• Research and evaluate new AI frameworks, APIs, and technologies (e.g., OpenAI, LangChain, Anthropic, Hugging Face) for potential adoption
• Collaborate with the software and systems engineering teams to integrate AI features into existing tools and data systems
• Support documentation, version control, and deployment of AI-driven applications
• Analyze user feedback to improve AI model performance and tool usability
• Participate in brainstorming and ideation sessions to identify high-impact automation opportunities
• Present findings and progress in weekly project meetings

Qualifications & Skillsets

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Foundational understanding of machine learning, NLP, and generative AI concepts
• Proficiency in Python, with familiarity using frameworks such as TensorFlow, PyTorch, scikit-learn, or LangChain
• Experience working with APIs, automation tools, and AI SDKs (e.g., OpenAI API, Hugging Face, Anthropic, Zapier, Make)
• Strong problem-solving skills and an experimental, iterative approach to development
• Excellent written and verbal communication skills, with the ability to summarize technical work for non-technical audiences
• Interest in automation, productivity tooling, and the application of AI to industrial or energy systems
• Curiosity, creativity, and a self-starter mindset suited to a fast-paced, innovative environment
• Passion for clean energy and the intersection of artificial intelligence with sustainable technology