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3 дня назад

Research Scientist - Summer Intern 2026 (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Research Scientist Intern (AI): Conducting original research in NLP/ML, with the goal of publishing work in top conferences, focusing on tokenization, evaluations, and related areas. Focus on developing novel state-of-the-art work within deep learning and collaborating with other research scientists, engineering leaders, and product managers.

Location: Must work out of the Cambridge MA HQ or New York City office

Company

Kensho is S&P Global’s hub for AI innovation and transformation, developing and deploying novel solutions with expertise in machine learning, natural language processing, and data discovery.

What you will do

  • Conduct original research in NLP/ML to move the needle on unsolved problems.
  • 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.

Culture & Benefits

  • Value in-person collaboration.
  • Team-based, tightly-knit startup Kenshin community, which fosters continuous learning and a communicative environment.
  • Open, honest, and efficient communication.
  • Time and resources are dedicated to exploring new ideas, rooted in engineering best practices.

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