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7 часов назад

Senior Machine Learning Engineer (Adtech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Machine Learning Engineer (Adtech): Architecting and deploying high-throughput, low-latency recommendation systems for a mobile ad platform with an accent on relevance models and bidding strategies. Focus on building neural network architectures, optimizing large-scale datasets, and managing the end-to-end lifecycle of production ML models.

Location: Hybrid in Hamburg, Germany (3 core office days required). Relocation support and visa assistance provided.

Company

hirify.global is a leading mobile ad platform developing cutting-edge advertising and monetization solutions as part of the applike group ecosystem.

What you will do

  • Architect and deploy high-throughput, low-latency recommendation systems scaling to millions of users and billions of daily requests.
  • Identify relevant signals from large-scale datasets to improve model performance.
  • Develop and refine relevance models and bidding strategies using advanced ML techniques to directly influence revenue.
  • Own the end-to-end lifecycle of production ML models, including monitoring and data-driven iterative improvements.
  • Collaborate with backend engineering teams to design and implement robust, scalable, and production-ready ML solutions.
  • Conduct rigorous A/B testing and experimentation to validate hypotheses and measure business impact.

Requirements

  • 5+ years of experience developing and deploying production-grade recommendation systems in high-volume environments (e.g., adtech, e-commerce, search).
  • Expertise in deep learning with hands-on experience in neural network architectures using TensorFlow, PyTorch, or Jax.
  • Strong software engineering foundations.
  • Must be based in or be able to relocate to Hamburg, Germany.

Nice to have

  • Understanding of data engineering principles.
  • Experience with large-scale distributed data processing systems such as Spark, Flink, or Kafka.
  • Knowledge of data storage solutions including AWS Athena, S3, or MySQL.

Culture & Benefits

  • Hybrid work model with 3 core office days and flexible working hours.
  • 30 vacation days and 3 weeks of remote work per year.
  • Comprehensive relocation support, including visa assistance and a relocation bonus.
  • Growth-oriented environment with regular feedback and a dedicated development program.
  • Central office with Alster lake view, in-house gym, mental health support (EAP), and a variety of snacks and drinks.
  • Active community with regular team events, hackathons, and social gatherings.

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