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13 дней назад

Principal Machine Learning Engineer (Search)

209 000 - 360 000$
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
Principal Machine Learning Engineer (Search): Improving product search and discovery quality through information retrieval, recommendation systems, machine learning, deep learning, and natural language processing with an accent on personalization, retrieval, ranking, and user modeling. Focus on diagnosing search defects, designing state-of-the-art solutions, implementing distributed systems, and validating improvements through A/B testing.

Location: Seattle, USA

Base pay: $209,000–$360,000 per year, depending on geographic market, knowledge, skills, and experience.

Company

hirify.global is a large global public e-commerce company building shopping, eating, and living experiences at scale.

What you will do

  • Analyze bottlenecks in search and recommendation systems and quantify defects.
  • Propose solutions using machine learning, deep learning, large language models, and other state-of-the-art technologies.
  • Implement search and discovery improvements and conduct A/B tests.
  • Develop personalization ranking models and integrate them into the search ranking stack.
  • Build personalized retrieval, recommendation models for discovery interfaces, and user understanding systems.
  • Provide technical leadership and build organizational consensus around solutions.

Requirements

  • 10+ years of experience in search, information retrieval, recommendation systems, machine learning, deep learning, or natural language processing.
  • Proficient coding skills in Java, C++, or Python.
  • Master’s degree in Computer Science or a related field.
  • Experience handling large data volumes in distributed environments.
  • Pragmatic, open-minded, and strong problem-solving approach.

Nice to have

  • PhD in Computer Science or a related engineering discipline.
  • Experience with e-commerce, social network, or search companies.
  • Experience exploring, automating, and optimizing distributed systems and tools.
  • Strong interest in developing new technology and deep domain expertise.

Culture & Benefits

  • Startup culture combined with the resources of a large public company.
  • Medical, dental, vision, life, AD&D, disability, and employee assistance benefits.
  • FSA, HSA, and 401(k) plan with company match.
  • 18–21 days of paid time off annually, based on tenure, plus 12 public holidays.
  • Paid parental leave, pre-tax commuter benefits, and a free electric car charging station.

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