Machine Learning Engineer - Summer Intern 2027

S&P Global • Watertown, MA

2d • Onsite

About The Position

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production. The internship is for Summer 2027. We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!

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

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.
• Work within a cross-functional team of ML Engineers, Product Managers, Designers, and Full-Stack Engineers while receiving active mentorship and continuous feedback.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern