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Research Scientist - Summer Intern

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Kensho Technologies

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Location:
United States , New York ▼

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

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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. 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. You will actively conduct and publish research that concerns one of the following core NLP areas: Tokenization; Evaluations; Other – based on shared interests and priorities.

Job Responsibility:

  • 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)

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

Additional Information:

Job Posted:
January 05, 2026

Work Type:
On-site work
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