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Applied Scientist, Personalization, Personalization (AI)

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

Текст:
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TL;DR
Applied Scientist, Personalization, Personalization (AI) (Machine Learning/LLM): Building customer memory and personalization systems that extract, validate, represent, and apply customer knowledge in real time with an accent on information extraction, knowledge representation, LLM reasoning, and recommendation systems. Focus on designing end-to-end ML solutions, balancing precision, recall, latency, and coverage, and deploying scalable models through offline and online experimentation.

Location: Haifa, Israel

Company

hirify.global develops large-scale customer-facing products and personalization systems using machine learning, generative AI, and distributed systems.

What you will do

  • Design and build ML- and LLM-powered customer memory and personalization solutions.
  • Develop systems that extract, curate, validate, and apply customer preferences, intents, and life events.
  • Own ML solution delivery from problem formulation and modeling through offline and online experimentation and production deployment.
  • Drive work across fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization.
  • Balance quality, latency, coverage, precision, and recall in large-scale production systems.
  • Collaborate with engineering and product teams to translate research into measurable customer impact.

Requirements

  • Programming experience with C/C++, Python, Java, or Perl.
  • Experience with patents or publications in top-tier peer-reviewed conferences or journals.
  • Clear and concise communication with leadership, stakeholders, and cross-functional teams.
  • Experience building and launching deep learning or machine learning models for business applications.
  • Knowledge of big data and cloud technologies, such as Spark and AWS.
  • Experience with information retrieval, recommender systems, natural language processing, or personalization algorithms.

Nice to have

  • Publications at leading Web, machine learning, or natural language processing conferences, including KDD, ICML, NeurIPS, ACL, or EMNLP.

Culture & Benefits

  • Inclusive culture focused on delivering customer results.
  • Workplace accommodations and support are available during the application, interview, and onboarding processes.

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