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Senior Machine Learning Engineer

Adjust is the mobile marketing analytics platform trusted by growth-driven marketers around the world, with solutions for measuring and optimizing campaigns and protecting user data. Adjust powers thousands of apps with built-in intelligence and automation, backed by responsive global customer support. 

In 2021, Adjust was acquired by AppLovin, a leading marketing software company providing developers with a powerful, integrated set of solutions to grow their mobile apps.


Your role:

As a Senior Machine Learning Engineer, you will be part of a distributed team responsible for research, development and implementation of predictive models that help Adjust customers to fully utilize their data and make better decisions regarding their advertising campaigns.


Your responsibilities:

  • Research new ways to apply predictive models
  • Develop production ready prediction pipelines
  • Collaborate with backend teams to deploy machine learning models to production
  • Iterate over and improve current deployed models


What you bring:

  • Proficiency in Python for data science
  • Strong knowledge of probability and statistics
  • Experience in developing and implementing machine learning pipelines
  • Strong knowledge of different machine learning models, their strength, limitations and areas of application
  • Fluent spoken and written English
  • Great team player who loves to share knowledge and support colleagues within the team and the company


What’s in it for you:

  • Opportunity to make an impact on the ad-tech industry working for a forward-thinking leader in the space
  • International, diverse teams with a strong focus on transparency, feedback and fun
  • Education budget for ongoing professional development & continuous learning
  • A three-week onboarding program like no other, where you’ll learn the ins-and-outs of our product (remotely and after the pandemic again onsite in our Berlin HQ)
  • Flexible, family-friendly work schedule and vacation policy
  • Childcare program, paid parental leave
  • Free language classes
  • Additional private health insurance
  • Company Pension Plan with 40% employer contribution
  • Discounted Gym Membership with Urban Sport 
  • Mental health support with qualified therapists
  • WFH program with remote online events (workouts, coffee chats, team events, games, etc.)
  • Relocation and visa assistance


More details about our company culture and perks can be found on our career page , or have a sneak peek of our office in Berlin .

Interested?  Let's Talk! 





Job type



Software Engineering


Machine LearningMarketingPythonResearch
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