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5 часов назад

Senior Staff Machine Learning Engineer (AI)

266 000 - 372 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Staff Machine Learning Engineer (AI): Building and optimizing end-to-end personalization and ranking systems for main hirify.global feeds with an accent on scalability and technical leadership. Focus on defining technical strategy, scaling systems for tens of millions of users, and mentoring senior engineering talent.

Location: Remote (Must be based in the United States)

Salary: $266,000 - $372,400 USD

Company

hirify.global is a community-driven platform and one of the internet's largest sources of information, hosting over 100,000 active communities.

What you will do

  • Lead technical initiatives with significant company-wide impact on feed relevance.
  • Define the technical direction and strategy for the broader Relevance and Feeds teams.
  • Collaborate with Product and Engineering leadership to set goals and de-risk critical projects.
  • Design and scale high-performance personalization systems serving tens of millions of users.
  • Mentor and grow Senior and Staff engineers while fostering a healthy engineering culture.
  • Partner with Infra and Platform teams to shape the future of ML infrastructure at hirify.global.

Requirements

  • 10+ years of industry experience building systems for relevance-driven products.
  • Subject matter expertise in relevance, recommendation, and ML systems.
  • Deep understanding of building sustainable software systems at a large scale.
  • Experience influencing organization-wide technical direction and best practices.
  • Ability to work cross-functionally with design, product, business, and data teams.
  • Must be based in the United States.

Culture & Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401k with employer match.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave.
  • Support for mental health, coaching, and family planning.
  • Global benefit programs including workspace and professional development support.

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