ML Engineer Intern

Job Description

Machine Learning Internship

You must be a US Citizen or a Green Card holder at time of application.

Who We Are

Nuclearn.ai is a startup technology company delivering solutions to the nuclear and utility industries. We solve meaningful problems using advanced AI and high-quality software, deployed easily and cost-effectively. Our primary product is a web platform that tightly integrates workflow automations, machine learning model deployment, dataset management, and analysis to address specific challenges for our customers in both the nuclear and broader utility sectors. The Nuclearn.ai platform is currently in use at over 33 nuclear reactors across North America, and we are actively expanding our reach to every nuclear utility in the U.S. and abroad, as well as other utility sectors.

Position Overview

We’re looking for a passionate Machine Learning Engineer Intern to engage with research, development, training, evaluation and deployment of state of the art machine learning models and algorithms. In this position, you will work in a team of Machine Learning Engineers to develop new machine learning models that will solve our customer’s 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.

Eligibility:

U.S. citizenship or permanent residency (green card holder) is required due to DOE Export Compliance.

What you’ll be doing

• Model Development and Fine-tuning: Fine-tune large-scale language models for new products or specific tasks. Expected techniques include:
  • Deep fine tuning language models.
  • Training task specific classification heads.
  • Massive (>1k labels) multi-label classification.
• Research and Development: Continuously research and evaluate emerging technologies and methodologies in machine learning and NLP to keep the team updated and capable of pivoting quickly.
• Prototyping and Experimentation: Quickly implement proof-of-concept prototypes to validate new approaches, technologies, or algorithms.
• Codebase Management: Collaborate with the engineering team to integrate machine learning algorithms into the existing codebase.
• Data Management: Work closely with the team to design and maintain scalable data pipelines and architectures.
• Resource Management: Optimize the computational efficiency and costs associated with machine learning tasks.

Qualifications

• An Undergraduate Senior or a Graduate Student pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong programming skills in Python and experience with PyTorch.

Bonus qualifications (not required, but a plus)

• Experience with training LLMs
• Experience training models in multi-node clusters.
• Prior experience working in a startup environment.
• Knowledge of the nuclear or utility industries.

Structure

• $20 – $35 per hour
• Part-time 3 – 6 months Contract (15 hours min, 30 hours max per week)
• In office Monday, Tuesday, Thursday, Friday. Wednesday off.

What you’ll love

• 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 new problems

If you’re excited about the opportunity to make a real difference in a rapidly growing company and have the skills and experience we’re looking for, we’d love to hear from you. Apply today to join our dynamic team and help us revolutionize the nuclear and utility industries with innovative AI solutions.