Research Scientist - Summer Intern 2026

Kensho • Cambridge, MA

1d • 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. Are you looking to solve hard problems and enjoy working with teammates with diverse perspectives? If so, we would love to help you excel here at Kensho. We are a collaborative group of experienced Machine Learning Engineers, Applied Scientists, and Research Scientists, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup Kenshin community, which fosters continuous learning and a communicative environment – allowing us to tackle the biggest challenges in data. We value in-person collaboration; therefore, interns are required to work out of the Cambridge MA HQ or our New York City office! About the R&D Team: Kensho’s R&D lab was created from scratch in 2022 with the mission of bringing cutting-edge innovation to Kensho and S&P Global at large. Our small, but growing, 7-person team conducts pure research – primarily in NLP – with topics including: tokenization [3][4][8][9][10] building challenging evaluation benchmarks [5][6][11][14] long-form QA and reasoning [5][6] document inconsistencies [15] post-training techniques [12] and more [1][2][7][13] We prioritize publishing in ACL, NAACL, COLM, EMNLP, NeurIPs, ICML, etc. Related, we host a thriving Reading Group every week, where folks all throughout Kensho’s ML Org volunteer and regularly attend. We maintain close ties with academia (e.g., we collaborate on research w/ several universities and our Head of R&D teaches NLP and ML at MIT). Since our inception, we have regularly presented our work to senior members (e.g., CEO, CFO) of S&P Global and in turn have had our research and models mentioned in S&P Global’s Quarterly Earnings Reports. Our early research with LLMs helped secure resources for several new, large Generative AI projects throughout Kensho. About the Role As a research scientist intern, you will be a core member of our lab and will work on a high-impact project that best aligns with your experience and research interests. You will be paired with a full-time Research Scientist mentor and will have the opportunity to present your work to all of Kensho.

Requirements

• Currently enrolled in a PhD or Master’s program (e.g., Computer Science, Linguistics, or a related technical field), with the expectation of returning to school after completion of the internship.
• Having published in top NLP/ML conferences (e.g., ACL, NAACL, EMNLP, NeurIPS, COLM, ICML), ideally as a first-author.
• Relevant work experience (e.g., via internships, full-time, or at a lab).
• Fluency in PyTorch.

Responsibilities

• Move the needle on unsolved problems in NLP/ML by conducting original research – with the goal of publishing your work in a top conference
• Develop novel state-of-the-art work within deep learning (e.g., algorithms, models, datasets, analyses).
• Collaborate with other research scientists, engineering leaders, and product managers
• Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code
• Write clean, readable research code in PyTorch (not expected to write production-level code)

What This Job Offers

• Career Level: Intern