Machine Learning Engineer - Summer Intern 2027

S&P Global • Cambridge, 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.
At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.
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.
Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.

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

• Career Level: Intern