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Senior ML Applied Research Scientist (AI)

Формат работы
hybrid
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 ML Applied Research Scientist (AI): Developing and deploying cutting-edge AI technologies for the hirify.global Revenue AI Operating System with an accent on speech recognition, NLP, and LLM-powered experiences. Focus on driving end-to-end ownership of AI initiatives from research to production-ready solutions, solving complex challenges in model performance, scalability, and multimodal understanding.

Location: Tel Aviv (Hybrid)

Company

hirify.global is a leading revenue intelligence platform that uses AI to help teams understand customer interactions and automate sales workflows.

What you will do

  • Build and improve AI capabilities including speech recognition, speaker diarization, and conversational intelligence.
  • Evaluate and integrate emerging AI models and architectures into production systems.
  • Drive end-to-end ownership of AI initiatives from experimentation to deployment and optimization.
  • Solve complex challenges related to real-time transcription and multimodal understanding.
  • Optimize model performance, latency, and reliability using advanced techniques like fine-tuning and distillation.
  • Collaborate across research, engineering, and product teams to deliver measurable business value.

Requirements

  • Strong expertise in machine learning, applied research, and production-grade AI systems.
  • Ability to turn research ideas into practical, scalable solutions.
  • Experience working with large-scale production data.
  • Strong engineering rigor combined with scientific curiosity.
  • Effective communication skills for cross-functional collaboration.
  • Ability to work in a hybrid model in Tel Aviv.

Culture & Benefits

  • Flexible hybrid work model combining office and remote work.
  • Culture built on transparency, trust, and radical impact.
  • Opportunity to work on cutting-edge AI across multiple domains.
  • Empowerment to own projects from experimentation to production.
  • Commitment to fairness, diversity, and equal opportunities.

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