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10 дней назад

Senior Data 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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TL;DR
Senior Data Scientist (AI): Researching, training, and deploying large-scale recommender systems using deep learning, multimodal signals, and GenAI with an accent on scalable model serving and end-to-end production delivery. Focus on designing sequence-based systems, solving low-latency inference and massive-data challenges, and leading cross-team ML initiatives.

Location: Tel Aviv, Israel

Company

hirify.global provides tools and platforms for creating and operating games, applications, and real-time 3D experiences across mobile, PC, console, and spatial computing.

What you will do

  • Research, train, and deploy state-of-the-art recommender systems using deep learning and GenAI.
  • Own ML projects end to end, from business problem definition and modeling through experimentation and production deployment.
  • Build scalable online models and serving solutions using massive datasets for hundreds of millions of users.
  • Apply multimodal and sequence-modeling techniques to text, video, and behavioral data.
  • Lead cross-team initiatives, improve ML tooling, and mentor less experienced colleagues.
  • Collaborate with ML experts, big data engineers, product managers, and developers on complex product problems.

Requirements

  • 5+ years of hands-on experience as a data scientist or applied ML researcher or engineer.
  • Experience taking machine learning projects from concept to production.
  • Strong Python and PyTorch skills with a solid foundation in deep learning theory.
  • Strong analytical skills and product sense, including the ability to frame business problems and select appropriate ML solutions.
  • Experience guiding less experienced teammates and driving cross-person projects.
  • Professional English proficiency for frequent communication with colleagues and partners worldwide.

Nice to have

  • Experience with recommender systems, ranking, or ads and marketplace ML.
  • Experience with distributed training and low-latency inference.
  • Experience with GenAI or LLM applications, embeddings, or multimodal models.
  • Familiarity with JAX or ML frameworks beyond PyTorch.

Culture & Benefits

  • Health, life, and disability insurance, with offerings varying by country and employment status.
  • Commute subsidy, retirement or pension plans, vacation and personal days.
  • Parental leave and family-care programs, mental health support, and a global employee assistance program.
  • Employee stock ownership, training and development programs, employee resource groups, and volunteering support.

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