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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): Building and launching large-scale personalization systems, recommendation features, and new AI technologies using machine learning and large language models with an accent on recommender systems, experimentation, and analytical methods. Focus on inventing and evaluating models, developing scalable solutions with large datasets and distributed computing resources, and collaborating with scientists, engineers, and product partners.

Location: Tel Aviv, Israel

Company

hirify.global develops large-scale shopping and personalization products using machine learning, big data, distributed systems, and user experience design.

What you will do

  • Research, design, and develop new AI technologies for personalization.
  • Invent, adopt, and experiment with machine learning and analytical techniques for recommendation systems and large language models.
  • Build and launch personalized content recommendations, features, products, and systems.
  • Work with large datasets and computational resources to develop scalable machine learning solutions.
  • Collaborate with scientists, engineers, and product partners locally and internationally.

Requirements

  • PhD in computer science, electrical engineering, or a related field, or an MSc with 5+ years of applied research experience.
  • Knowledge of computer science fundamentals, including data structures, algorithm design, and problem solving.
  • Excellent coding and system design skills, with proficiency in Java or Python.
  • Several publications in top-tier peer-reviewed research conferences or journals.
  • Strong communication and collaboration skills.

Nice to have

  • Experience with AWS, Hadoop, Spark, Pig, Hive, or other big data technologies.
  • Experience building and launching deep learning and machine learning models for business applications.
  • Experience with information retrieval, recommender systems, natural language processing, or personalization algorithms.
  • Publications in leading web, machine learning, or natural language processing conferences such as KDD, ICML, NeurIPS, ACL, or EMNLP.

Culture & Benefits

  • Inclusive culture focused on delivering impactful customer experiences.
  • Work with large datasets and substantial computational resources.
  • Work alongside local and international scientific, engineering, and product teams.
  • Workplace accommodations and application support are available for candidates with disabilities.

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