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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 Do
- 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.
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
- 2+ years of experience implementing and deploying machine learning solutions, with at least 1 year of hands-on experience with language models
- Strong programming skills in Python and experience with PyTorch
- Demonstrated ability to translate technical capabilities into practical solutions
- Experience deploying models in production environments
- Experience deploying models in production environments
- Prior experience working in a startup environment
- Knowledge of the nuclear or utility industries
- Base salary: [$]
- Equity:[% -%]
- Bonus: [%]
- Benefits: Unlimited PTO, health/dental/vision insurance
- Full-time, salaried
- Mon–Fri hybrid (Wed remote); expectation is ≥80% in-office (Phoenix HQ)
- 20-min intro with the founder/hiring manager to trade context and assess mutual fit
- Practical work sample (60–90 min; a real task in our stack)
- Team meet + peer programming (system design + collaboration) We aim to move from first chat to decision quickly.
Key Skills
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