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Senior Machine Learning Engineer (Advertising Technology)

184 500 - 318 500$
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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TL;DR

Senior Machine Learning Engineer (Advertising Technology): Building and operating large-scale batch and real-time ML systems for ad platforms with an accent on pricing, inventory optimization, and trust & safety. Focus on architecting end-to-end MLOps pipelines, ensuring system reliability, and mentoring engineering teams in a cloud-native environment.

Location: Must be based in the United States (Seattle or San Jose preferred)

Compensation: $184,500 – $318,500

Company

hirify.global is a global travel technology leader powering diverse brands to provide innovative personalized experiences through data and machine learning.

What you will do

  • Design and build large-scale batch and real-time ML systems for advertising use cases.
  • Lead end-to-end ML project lifecycles from system design to production deployment.
  • Establish MLOps best practices, including CI/CD for ML, monitoring, and drift detection.
  • Mentor junior engineers and drive shared technical standards across cross-functional teams.
  • Partner with Product and Platform teams to deliver high-impact ML applications for pricing and ranking.
  • Lead complex, cross-organizational initiatives to scale ML infrastructure and improve reliability.

Requirements

  • Must be authorized to work in the United States
  • 6-8+ years of industry experience building and deploying production ML models.
  • Strong proficiency in Python, plus Java or Scala.
  • Experience with distributed data processing and large-scale datasets using Spark.
  • Expertise in MLOps, including model versioning, automated retraining, and monitoring.
  • Hands-on experience with cloud-native ML platforms like AWS, SageMaker, or Kubernetes.

Nice to have

  • Experience building and scaling LLMs, RAG pipelines, or retrieval architectures.
  • Strong foundation in ranking, recommendation, or NLP models.
  • Background in ads, marketplaces, e-commerce, or travel platforms.

Culture & Benefits

  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Flexible work model with modern office environments.
  • Travel perks including wellness & travel reimbursement and travel discounts.
  • Generous paid time off, parental leave, and career development resources.
  • Supportive culture recognized as a Best Place to Work on Glassdoor.

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