Machine Learning Engineer (f/m/d)

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: WAVE Data Science

Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, fighting against giants like Google, Meta and TikTok to present its own ads. To stand a chance in this fierce competition, the WAVE Data Science team builds creative algorithms using technologies ranging from simple linear regression to advanced deep learning models. Everything we do is based on solid research about user behavior as well as publisher and advertiser analysis to build competitive bidding algorithms that balance the advertisers’ goals, the publishers’ expectations and of course the user experience. To make our inventions come to life we use state-of-the art technology and work closely with the product and business teams to shape the future of adjoe’s core business and technologies.

What You Will Do

• Dive into state-of-the-art algorithms and deep learning models to create recommendation systems, predict user behavior, and optimise user retention.
• Conduct bidding algorithm experiments end-to-end: from idea generation and research to deployment to production, monitoring and decision making based on the results.
• Dive deep into the technical implementation of our algorithms and optimise them for use in production.
• Build systems to monitor technical and business KPIs in real-time.
• Act as an advocate for data-related topics in the company and become the go to person in your area of expertise.
  
  
  

Who You Are

• You have 2+ years of professional experience in the Data Science field building recommendation systems or similar (for example in adtech, retail, search, ranking).
• You have shown a great level of understanding of deep neural networks (libraries such as TensorFlow and PyTorch) and have experience developing deep neural networks for recommendation systems.
• You have already deployed machine learning models to production yourself and you know how to monitor them.
• You have a strong knowledge of Python, R, Scala, Julia or similar typical programming languages for Data Science and have experience writing production-ready code in it
• You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, Flink, S3, MySQL.
• You are able to dive deep into mathematical foundations and explain complex topics in a simple way.
• You are a strong team player and enjoy helping others.
• Generating new ideas and solutions to problems, even unconventional ones, is something that brings you joy and that’s easy for you.
• Plus: Experiences in deep cross networks and multi-task deep learning.
• Plus: You have hands-on experience working with common Data Science / Machine Learning tools in production, for example TensorFlow, TensorFlow Serving, Airflow, Flink, Kafka, Terraform or other tools from our Tech Stack.
  
  
  

Heard of Our Perks?

• Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
• Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs and more.
• Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday
• Physical & Mental Health Package: In-house gym with personal trainer, various classes like Yoga with expert teachers.
• Activity Package: Regular team and company events, hackathons.
• Education Package: Opportunities to boost your professional development with courses and trainings directly connected to your career goals
• Wealth building: virtual stock options for all our regular employees.