Machine Learning Engineer

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.

• 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 Py Torch
• 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

• Full-time
• Salaried position
• 4 days a week in office (Wednesday remote)
• Unlimited vacation

• 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