S&P Global
Machine Learning Engineer - Summer Intern 2027
New York, New York · Intern · Internship
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About the role
- Kensho is S&P Global's hub for AI innovation and transformation.
- Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.
- Our communication with one another is open, honest, and efficient.
Responsibilities
- Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
- Lead a project to prototype, build, and test ML models and pipeline components under the guidance of senior engineers.
- Gain hands-on experience across the ML model lifecycle, from problem framing to model selection, pipeline development, evaluation, and deployment support.
Requirements
- Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences.
- Expertise in Python and Python-based ML frameworks (e.g.,LangGraph, Pydantic AI, PyTorch)
- Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience
Benefits
- Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
- Experience with advanced machine learning methods
Company info
- We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.
- We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives.
This listing is sourced directly from S&P Global's careers page and normalized into a canonical job model.