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Applied Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 Scientist (AI): Researching, designing, and developing large-scale machine learning solutions for personalization with an accent on recommendation systems and large language models. Focus on inventing novel AI techniques, experimenting with complex algorithms, and launching features that impact millions of customers.

Location: Must be based in Tel Aviv, Israel

Company

A global technology leader focused on e-commerce, cloud computing, and artificial intelligence.

What you will do

  • Research and develop new AI technologies for personalization systems.
  • Adopt or invent machine learning and analytical techniques for recommendations.
  • Collaborate with cross-functional teams of scientists, engineers, and product partners.
  • Experiment with and launch new features, products, and systems.
  • Apply large language models to enhance customer shopping experiences.

Requirements

  • PhD in CS/EE or related field, or MSc with 5+ years of applied research experience.
  • Strong knowledge of computer science fundamentals, data structures, and algorithm design.
  • Proficiency in programming languages such as Java or Python.
  • Proven track record with publications at top-tier peer-reviewed research conferences or journals.
  • Strong communication and collaboration skills.

Nice to have

  • Experience with big data technologies like AWS, Hadoop, Spark, Pig, or Hive.
  • Experience building and launching deep learning models for business applications.
  • Background in information retrieval, recommender systems, or NLP.
  • Publications at conferences such as KDD, ICML, NeurIPS, ACL, or EMNLP.

Culture & Benefits

  • Inclusive culture focused on delivering results for customers.
  • Access to massive datasets and tremendous computational resources.
  • Opportunities to push the state of the art in machine learning.
  • Support for workplace accommodations and adjustments.

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