Machine Learning Engineer

Leading mobile ad platform developing cutting-edge advertising and monetization solutions, part of the applike group ecosystem with backing from Bertelsmann.
Hamburg, Germany
Machine Learning
Mid-Level Software Engineer
Hybrid
2+ years of experience
AI · Advertising

Description For Machine Learning Engineer

adjoe, a leading mobile ad platform within the applike group ecosystem, is seeking a Machine Learning Engineer to join their WAVE Data Science team. This role offers an exciting opportunity to work on cutting-edge advertising technology, competing with industry giants like Google, Meta, and TikTok. You'll be developing sophisticated bidding algorithms and recommendation systems using advanced deep learning models.

The position involves working with state-of-the-art technology to optimize real-time ad auctions, balancing advertiser goals, publisher expectations, and user experience. You'll be part of a team that conducts extensive research on user behavior and develops competitive bidding algorithms using technologies ranging from simple linear regression to advanced deep learning models.

The ideal candidate brings 2+ years of experience in Data Science, particularly in recommendation systems or adtech, with strong expertise in deep neural networks and production deployment of machine learning models. You'll work with modern tools and technologies including AWS Athena, Kafka, Spark, and various ML frameworks.

This hybrid role offers an attractive work-life balance with 2 remote days per week, 30 vacation days, and 3 weeks of remote work annually. The company provides comprehensive benefits including relocation support, professional development opportunities, and virtual stock options. Located in Hamburg's city center, you'll enjoy a modern office environment with various amenities and regular team events.

Last updated 4 months ago

Responsibilities For Machine Learning Engineer

  • Develop state-of-the-art algorithms and deep learning models for recommendation systems, user behavior prediction, and user retention optimization
  • Conduct end-to-end bidding algorithm experiments from ideation to production deployment
  • Optimize algorithms for production implementation
  • Build real-time monitoring systems for technical and business KPIs
  • Serve as an advocate for data-related topics and subject matter expert

Requirements For Machine Learning Engineer

Python
Kafka
MySQL
  • 2+ years of professional experience in Data Science building recommendation systems
  • Strong understanding of deep neural networks and experience with TensorFlow and PyTorch
  • Experience deploying and monitoring machine learning models in production
  • Strong knowledge of Python, R, Scala, Julia or similar Data Science programming languages
  • Experience with large-scale data processing using AWS Athena, Kafka, Spark, Flink, S3, MySQL
  • Strong mathematical foundation and ability to explain complex topics simply
  • Team player with problem-solving skills

Benefits For Machine Learning Engineer

Visa Sponsorship
Relocation Benefits
Education Budget
Equity
  • 30 vacation days
  • 3 weeks per year of remote work
  • Flexible working hours
  • Dog-friendly office in city center
  • Visa & legal support
  • Relocation bonus
  • German Classes reimbursement
  • Monthly company lunch
  • Free snacks and drinks
  • Free breakfast & pastries on Mondays
  • In-house gym with personal trainer
  • Yoga classes
  • Regular team and company events
  • Professional development courses and training
  • Virtual stock options

Interested in this job?

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