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5 часов назад

Senior Applied Scientist (AI)

167 100 - 226 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Applied Scientist (AI): Leading the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems with an accent on translating complex scientific research into practical, high-impact solutions. Focus on driving evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems.

Location: USA, WA, Seattle

Salary: 167,100.00 - 226,100.00 USD annually

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

  • Lead the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems.
  • Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions.
  • Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems.
  • Collaborate with cross-functional teams to translate scientific innovations into customer value.
  • Mentor Scientists and influence scientific approach across the organization.

Requirements

  • 3+ years of building machine learning models or developing algorithms for business application experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields.

Nice to have

  • PhD in Science, Technology, Engineering, or Mathematics (STEM), or Master's degree and 5+ years of working with or evaluating AI systems experience.
  • Experience conveying complex technical concepts to both technical and business audiences.
  • Experience providing and effectively communicating strategic and tactical recommendations based on data.
  • 6+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience.

Culture & Benefits

  • Employee-led affinity groups foster a culture of inclusion.
  • Value work-life harmony and strive for flexibility as part of working culture.
  • Endless knowledge-sharing, mentorship and other career-advancing resources are available.
  • Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.

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