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Machine Learning Engineer - Remote

Posted 6 days ago
Software Development
Full Time
Germany

Overview

As a Machine Learning Engineer at adjoe, you will be part of a leading mobile ad platform, developing cutting-edge algorithms and systems that enhance user experience and drive revenue in a competitive real-time bidding environment.

In Short

  • Architect and deploy high-throughput recommendation systems.
  • Leverage large-scale datasets to improve model performance.
  • Develop relevance models and bidding strategies.
  • Own the lifecycle of production machine learning models.
  • Collaborate with backend engineering teams to implement machine learning solutions.
  • Conduct A/B testing and experimentation to validate hypotheses.

Requirements

  • 2+ years of experience in developing production-grade recommendation systems.
  • Expertise in deep learning and neural network architectures.
  • Strong software engineering skills.
  • Understanding of data engineering principles (preferred).
  • Experience with large-scale data processing systems (e.g., Spark, Flink, Kafka).

Benefits

  • Regular feedback and development programs to support growth.
  • Assistance with relocation to Hamburg and settling in.
  • Hybrid work setup with flexible hours and vacation days.
  • Access to in-house gym and mental health support.
  • Regular team events and celebrations.
adjoe logo

adjoe

adjoe GmbH is a leading mobile advertising platform that specializes in developing innovative advertising and monetization solutions aimed at enhancing the business of its app partners. As part of the applike group ecosystem, adjoe boasts an advanced tech stack and strong financial backing from Bertelsmann. The company is dedicated to creating engaging ad experiences for users, utilizing machine learning algorithms to predict user preferences in mobile games. With a robust backend capable of handling over 200 million users, adjoe is committed to delivering high-quality software solutions and insights to its clients, all while fostering a motivated and diverse workforce.

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