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2 дня назад

Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning)

142 800 - 193 200$
Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
c1
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Science Intern (Machine Learning): Developing and optimizing recommender systems and information retrieval solutions with an accent on deep learning and natural language processing. Focus on designing new search algorithms, building scalable data pipelines, and conducting research into knowledge management.

Location: Must be based in or be able to relocate to the USA (Locations include Seattle, Arlington, Bellevue, Boston, New York, Palo Alto, San Diego, and Santa Clara)

Salary: $142,800 - $193,200 annually

Company

hirify.global is a global leader in e-commerce and cloud computing, utilizing AI to revolutionize how people discover and access information.

What you will do

  • Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets.
  • Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources.
  • Conduct research into the latest advancements in recommender systems and information retrieval.
  • Collaborate with cross-functional teams to integrate innovative solutions into production systems.
  • Communicate findings through technical documentation, presentations, and potential publications.

Requirements

  • Must be currently enrolled in a PhD program.
  • Must be available for a full-time (40h/week) 12-week internship between May 2026 and September 2026.
  • Must be able to relocate to the internship location in the USA.
  • Proficiency in Java, C++, Python or related programming languages.
  • Experience with ML, NLP, Deep Learning, LLMs, or Knowledge Graphs.

Nice to have

  • Publications at top-tier peer-reviewed conferences or journals.
  • Experience building ML models or algorithms for business applications.
  • Experience with deep learning frameworks such as MxNet or TensorFlow.

Culture & Benefits

  • Access to state-of-the-art computing infrastructure and research papers.
  • Mentorship from industry luminaries in a fast-paced, innovative environment.
  • Benefits include 401(k) matching, EAP, and mental health support.

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