Hybrid Machine Learning Intern

at S&P Global

• Job title: Machine Learning Intern
• Job type: Internship
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, New York City, United States

About the role

• Machine Learning Intern working on developing GenAI applications and fundamental AI toolkit solutions at Kensho. Collaborative environment fostering technical growth and innovation in machine learning.

Responsibilities

• Apply advanced NLP techniques to extract insights from large proprietary unstructured and structured datasets
• Design, build, and maintain scalable production-ready ML systems
• Participate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in production
• Partner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementation
• Work in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional products

Requirements

• Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
• Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences
• Experience with advanced machine learning methods
• Statistical knowledge, intuition, and experience modeling real data
• Expertise in Python and Python-based ML frameworks (e.g.,LangGraph, Pydantic AI, PyTorch)
• Demonstrated effective coding, documentation, and communication habits
• Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience.

Benefits

• Opportunity to attend technical and non-technical discussions
• Company wide social events