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Senior Machine Learning Engineer (Ads)

259 030 - 311 430$
Формат работы
hybrid
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
Senior Machine Learning Engineer (Ads): Develop deep learning-based models and scalable machine learning solutions for performance advertising and ad ranking algorithms. Focus on building a world-class ML-driven advertising platform and solving complex challenges in recommendation systems and personalized ads.

Location: United States; roles based at the San Mateo, California headquarters are onsite Tuesday through Thursday, with optional presence on Monday and Friday.

Salary: $259,030–$311,430 USD annual base pay, plus potential equity compensation and benefits.

Company

A platform for creating and experiencing 3D digital environments, with a global community of developers and creators.

What you will do

  • Design and implement machine learning solutions for ad-ranking algorithms.
  • Build large-scale recommendation models and personalized advertising experiences.
  • Develop deep learning models for performance advertising use cases.
  • Write specifications for new features and product improvements.
  • Collaborate across teams to build products with a community-first approach.
  • Evaluate emerging technologies and translate relevant research into production products.

Requirements

  • 5+ years of experience designing and building scalable machine learning solutions for real-world production use cases.
  • Bachelor’s degree in Computer Science or a related discipline.
  • Experience initiating and facilitating complex technical decisions across multiple teams and organizations.
  • Strong user-focused, creative, strategic, and problem-solving approach.
  • For US-based roles, candidates must have appropriate US work authorization; certain visa categories may not be supported.

Nice to have

  • Experience training, deploying, and integrating transformer-based models.
  • Advanced degree in a related field.
  • Experience communicating with relevant industry and technical communities.

Culture & Benefits

  • Opportunity to shape an early-stage, ML-driven advertising platform.
  • Work on large-scale technical challenges affecting tens of millions of users.
  • Full-time employees are eligible for equity compensation and benefits.
  • Commitment to equal employment opportunities and reasonable accommodations.

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