Назад
3 дня назад

Senior Software Engineer (Machine Learning, Ads)

220 000 - 275 000$
Формат работы
onsite
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

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TL;DR

Senior Software Engineer (Machine Learning, Ads): Developing and scaling machine learning models for ad targeting, measurement, and delivery ranking with an accent on real-time inference and large-scale data infrastructure. Focus on building foundational ML capabilities to enhance ad relevance and drive revenue within a high-traffic gaming platform.

Location: Must be based in the San Francisco Bay Area

Salary: $220,000–$275,000

Company

A multiplatform communication service focused on helping people deepen friendships around games and shared interests.

What you will do

  • Design, develop, and deploy machine learning models for ads targeting and ranking.
  • Build sophisticated ML solutions like identity graphs to enhance ad targeting.
  • Optimize ad ranking models to serve effective ads based on campaign objectives.
  • Scale ML infrastructure to support concurrent ad campaigns with low-latency decision-making.
  • Collaborate cross-functionally to define and execute the Ads ML roadmap.
  • Drive research and implementation of state-of-the-art ML techniques for online advertising.

Requirements

  • 5+ years of experience as a Machine Learning Engineer or Data Scientist.
  • 3+ years of experience specifically in Ads ML.
  • Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Experience with applied deep learning such as transformers and embedding models.
  • Proven track record of scaling ML-driven ad systems in real-world applications.
  • Experience with real-time ML inference, A/B testing, and optimization frameworks.

Nice to have

  • Understanding of performance advertising and its impact on revenue.
  • Knowledge of ad tech industry standards including auction, pacing, and frequency.
  • Experience with large-scale recommendation systems.
  • Experience with large-scale data infrastructure and distributed computing.

Culture & Benefits

  • Competitive base salary with equity and benefits.
  • Opportunity to work on an early-stage Ads ML platform with direct business impact.
  • Mission-driven environment focused on the future of gaming and community.
  • Commitment to inclusion and reasonable accommodations during the hiring process.

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