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1 день назад

Applied Scientist II (AI)

142 800 - 193 200$
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

Текст:
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TL;DR

Applied Scientist II (AI): Developing production ML and bandit solutions for Sponsored Products marketplace intelligence with an accent on search experience customization and whole-page optimization. Focus on designing algorithms for multi-objective optimization, leveraging LLMs/GenAI, and performing causal modeling to improve ad allocation efficiency.

Location: Must be based in Seattle, WA, USA

Salary: $142,800–$193,200 USD

Company

A global technology corporation focused on e-commerce, cloud computing, and advanced AI-driven advertising solutions.

What you will do

  • Develop real-time machine learning algorithms for ad allocation in large-scale advertising auctions.
  • Design and implement multi-objective optimization and AI control methods to improve marketplace performance.
  • Drive end-to-end ML projects dealing with ambiguity, high scale, and complex system requirements.
  • Analyze massive datasets to extract shopper insights while ensuring revenue growth and ad quality.
  • Run online A/B experiments and simulations to test hypotheses and optimize search page experiences.
  • Collaborate with product managers and engineers to identify business opportunities for Sponsored Products.

Requirements

  • 3+ years of experience building models for business applications.
  • PhD or Master's degree in CS, CE, ML, or a related field with 4+ years of professional experience.
  • Proficiency in programming with Python, Java, or C++.
  • Experience in algorithms, data structures, data mining, or distributed computing.
  • Must be located in or able to work from Seattle, WA, USA.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, and vision.
  • 401(k) retirement plan with company matching.
  • Generous paid time off and parental leave policies.
  • Access to mental health support, medical advice lines, and employee assistance programs.
  • Opportunity to work with cutting-edge AI technologies in a data-driven, product-focused environment.

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