Nuclearn
AI

Machine Learning Engineer

Nuclearn · Phoenix, AZ

Actively hiring Posted 11 days ago

Role overview

Why Nuclearn.ai
Nuclearn.ai builds AI-powered software for the nuclear and utility industries—tools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day.

We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter.

Eligibility:
U.S. citizenship or permanent residency (green card) is required due to DOE export compliance.

What you'll work on

  • Collaborating closely with customers to understand their unique needs and tailoring AI solutions to meet specific industry challenges, particularly in the nuclear and utility sectors.
  • Fine-tuning pre-trained language models for customer-specific classification, extraction, and prediction tasks.
  • Designing, training, and validating custom ML pipelines to address domain-specific problems, ensuring high accuracy and performance in real-world applications.
  • Implementing and optimizing ML models for deployment in production environments, with a focus on scalability and efficiency.
  • Partnering with cross-functional teams, including development teams and domain experts, to ensure solutions align with customer workflows and objectives.
  • Continuously improving models by leveraging customer feedback and incorporating new data.
  • Driving innovation in the use of AI and ML within the nuclear and utility industries by experimenting with cutting-edge techniques and tools.

What we're looking for

  • Experience deploying models in production environments
  • Prior experience working in a startup environment
  • Knowledge of the nuclear or utility industries

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Machine Learning