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Machine Learning Engineer, Content and Service Ads - USDS (Ads)

177 688 - 341 734$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Machine Learning Engineer, Content and Service Ads - USDS (Ads): Building and optimizing large-scale advertising ranking, machine learning, data processing, and storage systems with an accent on distributed infrastructure, backend platform capabilities, and engineering efficiency. Focus on improving availability, observability, maintainability, and performance while leading complex projects and technical innovation.

Location: Seattle, United States; fully in-person schedule up to 5 days a week

Base salary: $177,688–$341,734 annually, with potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global develops safety, security, data privacy, and cybersecurity programs for U.S. users and supports TikTok's global content and advertising ecosystem.

What you will do

  • Lead projects for automation procedures and efficiency tooling supporting large-scale ads ranking, machine learning, data processing, and storage systems.
  • Develop backend services and platform capabilities that improve engineering efficiency, DevOps maturity, and developer experience.
  • Optimize systems and infrastructure for availability, observability, maintainability, and performance.
  • Provide technical leadership and guidance to team members and project peers.
  • Coordinate engineering efforts with cross-functional teams and internal and external stakeholders.
  • Drive innovation by introducing new ideas and technologies.

Requirements

  • Bachelor's degree or higher in computer science or a related technical discipline.
  • 3+ years of hands-on experience in software engineering, platform engineering, or complex scalable distributed systems.
  • Experience with network architecture, database modeling, cloud systems, and large-scale distributed systems.
  • Strong problem-solving, strategic thinking, debugging, communication, ownership, and project management skills.
  • Ability to work in a fully in-person schedule in Seattle, with on-site presence up to 5 days per week.

Nice to have

  • Experience in the advertising domain.
  • Experience building large-scale ranking and machine learning infrastructure.
  • Experience with petabyte-level data processing.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
  • Wellbeing benefits, 10 paid holidays, 10 paid sick days, and paid personal time.
  • Inclusive, diverse, and collaborative workplace focused on creativity, curiosity, innovation, and continuous learning.

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