Назад
2 дня назад

Senior Staff Machine Learning Engineer, Feed Relevance (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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TL;DR
Senior Staff Machine Learning Engineer, Feed Relevance (AI): Driving the development of GenAI-powered recommendations and core feed-ranking architectures for personalized experiences at Reddit with an accent on relevance modeling, recommendation systems, and large-scale machine learning. Focus on setting technical direction across organizations, solving complex relevance problems, and building scalable, reliable software systems while mentoring senior engineers.

Location: Remote - United States

Salary: $266,000–$372,400 USD per year, plus potential equity and commission depending on the position offered.

Company

Reddit is a large online community platform built around user-generated conversations, shared interests, voting, and discussion across more than 100,000 active communities.

What you will do

  • Drive the development of GenAI-powered recommendations and feed-ranking architectures.
  • Deliver technical initiatives with significant company-wide impact.
  • Set technical direction for the Relevance and Feeds teams and influence strategy across multiple organizations.
  • Partner with management on goals, planning, and risk reduction for critical projects.
  • Mentor and develop Senior and Staff engineers.
  • Help build a healthy engineering culture focused on user experience and quality.

Requirements

  • 10+ years of industry experience building systems for relevance-driven products.
  • Expertise in relevance, recommendation, and machine learning systems, including solving complex problems in these domains.
  • Strong understanding of sustainable software systems at large engineering organizations.
  • Experience influencing technical direction and engineering best practices across organizations.
  • Experience collaborating with design, product, business, and data teams.
  • Strong focus on user experience, usability, scalability, reliability, quality, communication, empathy, and cross-functional compromise.

Culture & Benefits

  • Comprehensive healthcare and income replacement programs.
  • 401(k) with employer match.
  • Global benefits supporting workspace, professional development, caregiving, and family planning.
  • Gender-affirming care, mental health, and coaching benefits.
  • Flexible vacation, paid volunteer time off, and generous paid parental leave.

Hiring process

  • Some interviews may be recorded, transcribed, and summarized by AI; candidates can opt out before scheduled interviews.
  • Interview recordings are deleted promptly after a hiring decision.

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