Machine Learning Engineer - Summer Intern 2027

S&P Global, Inc.; Cambridge (MA); On-site; USD 34,000 - 55,000; Part time

Job summary

Kensho, a unit of S&P Global, is seeking ML Engineer interns to join the team building a cutting-edge GenAI platform and LLM-powered applications. You will collaborate with experienced engineers in a fast-paced environment at the Cambridge HQ or NYC office.

The role offers hands-on experience across the ML lifecycle, problem framing, model selection, and deployment support, with mentorship and opportunities to learn and grow in a supportive startup‑style culture.

Qualifications

• Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning.
• Experience 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 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.

Skills

Python

Machine Learning

Communication

Model deployment

Education

Bachelor’s degree or higher in related field

Tools

LangGraph

PyTorch

Transformers

HuggingFace

LightGBM

Scikit-Learn

XGBoost

Jupyter

Pandas

Weights & Biases

Langfuse

Apache Spark

AWS Athena

DVC

OpenSearch

Postgres/Pgvector

S3

SQLite

Docker

Airflow

LangFuse

LiteLLM

Ray

vLLM

Claude Code

FastAPI

Streamlit

Gradio

Job description

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 S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and 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. 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. We value in‑person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!

What You’ll Do:

• 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 You'll Need:

• Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience.
• That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:
• 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.

Technologies & Tools We Use:

• Agentic systems: Agentic Orchestration, Deep Research, Information Retrieval, Semantic Search, LLM code generation, LLM tool utilization, Textual RAG systems.
• Core ML/AI: LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost.
• Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse.
• Data Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, S3, SQLite.
• Deployment & MLOps: Arize, Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, LangFuse, LiteLLM, Ray, vLLM.
• Prototyping & Development: Claude Code, FastAPI, Streamlit, Gradio.

Interested to see what we're working on? Check out our blog: https://blog.kensho.com/

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives.

Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. S&P Global enables businesses, governments, and individuals with trusted data, expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world‑leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive in a rapidly changing global landscape. From helping our customers assess new investments across the capital and commodities markets to navigating the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world’s leading organizations to unlock opportunities, solve challenges, and plan for tomorrow – today.