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Machine Learning Engineer

Germany, Berlin · Job Posted May 28, 2026
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Job Description

We are looking for a pragmatic, curious, and AI-fluent Machine Learning Engineer to join our Performance team. Beyond core ML, our work touches a range of disciplines like reinforcement learning, control engineering, mathematical optimization, and causal inference. The Performance team is the brain behind our bidding infrastructure. We handle the core algorithms responsible for maximizing ad performance and optimizing return on ad spend (ROAS) within the strict parameters set by our advertisers. We run a hybrid setup; training in the cloud and inference on our own hardware.

Job Responsibility

  • Develop and scale ML models
  • Own the full ML path
  • Optimize the bidding engine
  • Run and analyze experiments
  • Collaborate cross-functionally
  • Augment your workflow
  • Feature engineering and online/offline consistency

Requirements

  • Strong proficiency in Python and TensorFlow for building ML models
  • Comfortable reading Go to navigate online serving services
  • Growth mindset
  • Healthy skepticism and pragmatism
  • Ownership mindset
  • AI-forward
  • Adaptable and thrive with autonomy

Nice to have

  • Reinforcement learning
  • Control engineering
  • Mathematical optimization
  • Causal inference

What we offer

  • Unlimited vacation days
  • Work from home, from office in Berlin, or remotely
  • Generous remuneration package including virtual shares and dedicated education budget
  • End of year bonus
  • Short Term Assignment (STA) program
  • Comfortable work setup - laptop, phone, screen(s), standing desk
  • Support for home setup
  • Wellness benefits such as sports memberships, Nilo Health subscription and internet reimbursements
  • Company events including breakfast twice a week, team lunches, birthday and milestone celebrations, quarterly team events and company-wide parties and trips

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