Remote AI/ML Engineer for Nuclear AI & Open-Source

Atomic Canyon; Northern (KY); Hybrid; USD 150,000 - 225,000; Full time

Benefits offered by this job

Fully remote

Equity

Health insurance

Professional development

Annual travel

Supercomputing access

Job summary

Atomic Canyon is seeking an AI/ML Software Engineer to join our remote team building advanced AI models for the nuclear sector. You will work on document understanding, RAG, and domain-adapted language models to make nuclear energy information more accessible.

You’ll collaborate with ORNL scientists, optimize model training on high-performance systems, and help ensure safety and reliability while contributing to open-source tools and a future in clean energy.

Qualifications

• 3+ years of experience in AI/ML software engineering.
• Strong background in NLP, ML, LLMs, and information retrieval.
• Experience with high-performance distributed computing is a plus.
• Interest in nuclear energy sector welcomed.

Responsibilities

• Develop and implement AI models to understand complex nuclear content and concepts
• Design and optimize AI models for efficient data navigation and document indexing
• Collaborate with ORNL scientists to leverage supercomputing resources for model training
• Implement safeguards to prevent AI hallucinations and biases during search and data analysis
• Create robust, scalable, and maintainable code for our AI platform
• Contribute to the development of open-source AI tools for the nuclear sector
• Work closely with nuclear experts to ensure AI models accurately interpret industry-specific content

Skills

AI/ML software engineering

NLP

Information retrieval

Distributed computing

Nuclear energy

Python

PyTorch

HuggingFace

Tools

HuggingFace

Job description

Atomic Canyon is seeking an AI/ML Software Engineer to join our remote team building advanced AI models for the nuclear sector. You will work on document understanding, RAG, and domain-adapted language models to make nuclear energy information more accessible.

You’ll collaborate with ORNL scientists, optimize model training on high-performance systems, and help ensure safety and reliability while contributing to open-source tools and a future in clean energy.