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2 дня назад

Machine Learning Engineer (Ads)

Формат работы
remote (только USA)
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
Machine Learning Engineer (Ads) (Machine Learning/Python/TensorFlow/PyTorch): Building and optimizing machine learning models for ad targeting and personalization at scale with an accent on ad relevance, performance optimization, and large-scale data analysis. Focus on developing advertising algorithms, integrating ML solutions into the ad platform, and improving ad spend efficiency through statistical methods and A/B testing.

Location: Remote - Americas

Company

hirify.global is a commerce platform helping merchants and enterprises grow their businesses through online commerce.

What you will do

  • Develop and optimize advanced machine learning models for ad targeting and personalization at scale.
  • Analyze large-scale advertising performance data to identify optimization opportunities and improve ad spend efficiency.
  • Collaborate with advertising teams to integrate ML solutions into the ad platform.
  • Research and implement algorithms and tools that improve ad relevance and effectiveness.
  • Document technical insights and share engineering best practices.
  • Participate in on-call work when required.

Requirements

  • Extensive experience building and deploying machine learning models for advertising systems at scale.
  • Strong proficiency with TensorFlow or PyTorch and expert-level Python programming skills.
  • Proven ability to process large-scale datasets and extract analytical insights.
  • Demonstrated problem-solving ability and innovative thinking in advertising technology.
  • Solid familiarity with advertising platforms, A/B testing methodologies, and data-driven decision-making.
  • Experience with statistical methods and performance optimization for ML systems.

Culture & Benefits

  • Digital-first working environment.
  • Fast-paced work with significant change, complexity, and ambiguity.
  • Emphasis on independence, critical thinking, resilience, resourcefulness, and embracing differences.
  • Opportunity to work on commerce technology used by millions of merchants across 175 countries.

Hiring process

  • Candidates should be prepared to interview within one week.
  • The interview loop is intended to be completed within 30 days.
  • The process includes a live pair-programming session; candidates should bring their own IDE.

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