Position Overview
We're looking for a passionate, experienced Applied Machine Learning Engineer to drive practical AI solutions at Nuclearn by implementing, adapting, and deploying state-of-the-art machine learning models. In this position, you will work directly with our company's founders to develop and deploy machine learning solutions that address our customer's real-world automation and analytic needs. If you thrive in a start-up atmosphere where you can have a huge influence on company direction, be surrounded by motivated people, and deliver real AI solutions using state of the art techniques, then this position is for you.
What You'll Be Doing
- 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 Expect From You
- 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
Bonus Qualifications (not Required, But a Plus)
- Experience deploying models in production environments
- Prior experience working in a startup environment
- Knowledge of the nuclear or utility industries
Structure
- Full-time
- Salaried position
- 4 days a week in office (Wednesday remote)
- Unlimited vacation
What You'll Love
- Competitive pay, bonus structure and equity
- Opportunity to make a huge impact in a growing, venture capital backed company
- Unique opportunity to apply state of the art machine learning techniques to solve real-world problems
- Work-life balance with unlimited vacation policy
- Chance to shape the future of AI applications in critical infrastructure
