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Applied Scientist (Personalization)

Формат работы
onsite
Тип работы
fulltime
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 (ML/AI): Building hirify.global’s next-generation customer memory and personalization systems with an accent on information extraction, knowledge representation, and LLM reasoning. Focus on transforming unstructured signals into durable representations of customer preferences to power real-time experiences.

Location: Tel Aviv, Israel (Onsite)

Company

hirify.global's Personalization organization leverages large-scale machine learning and generative AI to deliver highly relevant customer experiences.

What you will do

  • Design and build ML and LLM-powered solutions for customer memory and personalization systems.
  • Develop processes for how customer knowledge is extracted, validated, and applied in production.
  • Own the end-to-end delivery of ML solutions, from problem formulation and modeling to online experimentation and deployment at scale.
  • Drive technical work in fact extraction, memory lifecycle, temporal reasoning, and grounded personalization.
  • Collaborate with engineering and product teams to translate research into measurable customer impact.

Requirements

  • PhD, or a Master's degree with research experience in CS, CE, ML, or a related field.
  • Proficiency in programming languages such as Python, C/C++, Java, or Perl.
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Strong communication and collaboration skills.
  • Must be based in Tel Aviv, Israel.

Nice to have

  • Experience building and launching deep learning and machine learning models for business applications.
  • Solid knowledge of big data and cloud technologies (e.g., Spark, AWS).
  • Experience with information retrieval, recommender systems, NLP, and personalization algorithms.
  • Publications at top conferences such as KDD, ICML, NeurIPS, ACL, or EMNLP.

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