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9 дней назад

Machine Learning Engineering Manager

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
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 Engineering Manager (Machine Learning Platform): Building and evolving shared infrastructure and developer workflows that move machine learning models from experimentation to reliable production with an accent on training orchestration, model serving, feature management, and LLM workflows. Focus on leading a Berlin-based engineering team, designing scalable platform architecture, and establishing monitoring, incident response, and production-readiness standards.

Location: Berlin, Germany; hybrid with required attendance at the Berlin office 3 days per week

Company

hirify.global is a travel search engine within Booking Holdings, operating global metasearch brands and business travel products.

What you will do

  • Own the strategy, roadmap, and technical direction of the shared Machine Learning Platform.
  • Lead, mentor, hire, and develop a Berlin-based team of Machine Learning Platform Engineers.
  • Design and evolve platform architecture across the machine learning lifecycle, contributing hands-on to complex engineering problems.
  • Build self-service capabilities for training orchestration, model deployment and serving, feature management, and LLM workflows.
  • Establish monitoring, alerting, incident response, reliability, and production-readiness standards.
  • Coordinate complex initiatives across Data Science, Engineering, Operations, and downstream product teams.

Requirements

  • Strong foundations in software engineering, machine learning, and systems design, with significant experience operating production ML systems, platforms, or infrastructure.
  • At least 5 years of experience with ML lifecycle systems, including training orchestration, model serving, feature management, and monitoring.
  • Meaningful people leadership experience covering hiring, coaching, performance management, and technical talent development.
  • Strong ownership, judgment, systems thinking, and the ability to balance reliability, cost, developer experience, technical debt, and platform evolution.
  • Experience leading across organizational boundaries and driving adoption of shared infrastructure through collaboration.
  • Hands-on experience with Python, Kubernetes, GitHub Actions, Kafka, AWS, Airflow, and Trino.

Nice to have

  • Experience building LLM or agent workflows, including prompt or dataset-processing pipelines.
  • Fluency with AI-assisted workflows and the ability to evaluate their outputs and limitations critically.

Culture & Benefits

  • Work from almost anywhere for up to 20 days per year.
  • Six weeks of paid vacation, a birthday day off, paid parental leave, and paid volunteer time.
  • Company-paid therapy sessions, a HeadSpace subscription, and a company-wide week off each year.
  • Development Dollars, leadership development, and access to thousands of on-demand e-learning courses.
  • Travel discounts, pension contributions, public transportation subsidies, bike leasing, free lunch twice per week, and social activities.
  • No-meeting Fridays and an office in Friedrichshain, Berlin.

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