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6 дней назад

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): Designing and building ML and LLM-powered solutions for hirify.global's customer memory and personalization systems with an accent on information extraction, knowledge representation, and temporal reasoning. Focus on delivering scalable, high-quality production systems that transform unstructured signals into durable customer knowledge.

Location: Onsite in Haifa, Israel

Company

hirify.global is a global technology corporation focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.

What you will do

  • Design and build ML and LLM-powered solutions for customer memory and personalization.
  • Own the end-to-end delivery of ML solutions from problem formulation to production deployment.
  • Extract, validate, and apply customer knowledge in large-scale production systems.
  • Drive work in fact extraction, memory lifecycle, and grounded personalization.
  • Navigate complex tradeoffs between model quality, latency, and coverage.
  • Collaborate with engineering and product teams to translate research into measurable customer impact.

Requirements

  • PhD or Master's degree in CS, CE, ML, or related research field.
  • Proficiency in programming languages such as Python, C/C++, or Java.
  • Experience in patents or publications at top-tier peer-reviewed conferences.
  • Strong communication and collaboration skills.
  • Must be able to work onsite in Haifa, Israel.

Nice to have

  • Experience building and launching deep learning models for business applications.
  • Solid knowledge of big data and cloud technologies like Spark and AWS.
  • Expertise in information retrieval, recommender systems, or NLP.
  • Publications at top conferences such as KDD, ICML, NeurIPS, ACL, or EMNLP.

Culture & Benefits

  • Inclusive culture focused on delivering results for customers.
  • Access to large-scale machine learning and generative AI infrastructure.
  • Opportunities to work on high-impact, customer-facing personalization systems.
  • Support for workplace accommodations and adjustments.

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