applike group

Senior Machine Learning Engineer (f/m/d)

applike group  •  Hamburg, DE (Hybrid)  •  1 day ago
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Job Description

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: Programmatic 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, going against industry giants to present its own ads.
In the competitive real-time bidding landscape, the Programmatic Data Science team operates at a rapid pace, developing cutting-edge algorithms, to create systems that outperform industry giants. Our approach is deeply rooted in rigorous research into user behavior, publisher and advertiser objectives, ensuring an optimal user experience. We are a fast-moving team that rapidly translates theory into impactful solutions, using state-of-the-art technologies and collaborating closely with product and business stakeholders.

What You Will Do:

  • Architect and deploy a high-throughput, low-latency recommendation system capable of scaling to millions of users and billions of daily requests.
  • Leverage Large Scale Dataset identify relevant signals to improve model performance. 
  • Develop and refine relevance models, bidding strategies, using advanced machine learning techniques, directly influencing the company revenue. 
  • Own the end2end lifecycle of production machine learning models, including rigorous monitoring, in-depth performance analysis, and data-driven iterative improvements.
  • Collaborate closely with backend engineering teams to design and implement robust, scalable, and production-ready machine learning solutions, ensuring seamless integration and industrialization of reusable models and assets.
  • Conduct rigorous A/B testing and experimentation, Validate your hypothesis and measure the impact of new features on key business metrics.

Who You Are:

  • You have 5+ years of proven experience developing and deploying production-grade recommendation systems in a high-volume environment (e.g., adtech, e-commerce, search).
  • You demonstrated expertise in deep learning, with hands-on experience building and optimizing neural network architectures for recommendation tasks using TensorFlow, PyTorch or Jax. 
  • You are a software engineer at heart. 
  • Plus: you have understanding of data engineering principles
  • Plus: experience working with large-scale distributed data processing systems (e.g., Spark, Flink, Kafka) and data storage solutions (e.g., AWS Athena, S3, MySQL).

Fuel for the Journey: Benefits to Support Your Ambitions

  • Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
  • Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
  • Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
  • Thrive Where You Work: Enjoy the Alster lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
  • Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
applike group

About applike group

applike group is the leading company building in the app economy. Based in Hamburg/Germany, our technologies & businesses cover the full value chain of the mobile apps market.

Our companies work independently but benefit from each others’ technologies and knowledge.

We have set up 5 companies (JustDice, adjoe, Sunday, justtrack, GameGame) under one roof of applike group.

justDice is responsible for building the world’s largest rewarded mobile gaming experiences. As market-leader in this genre, our goal is to ultimately create the best rewarded games.

adjoe’s ad format generates higher ad revenues than any other solution. adjoe’s UA platform provides quality traffic on scale, leveraging our growing SDK network.

Sunday creates and publishes extremely engaging and addictive mobile games with smart and player-friendly monetisation.

justtrack is our unique answer to optimizing and automating your entire mobile app growth strategy – all on one platform.

GameGame builds highly engaging mobile games (iOS and Android) for leading consumer brands. End-to-end, from the development to the game’s production to the actual distribution to millions of users in a given region.

These 5 companies receive best in class business support from applike's central service teams: Talent Acquisition, HR, Finance, Legal, Office Management and Internal IT.

We are 100 percent tech company where everybody is interested in computer science. We are always giving our best to keep in touch with the newest technology to build the most relevant products. Our mission is to build software with the capability to distribute ads to every mobile device on earth.

We're always looking for new colleagues. Come join us if you're ambitious, smart, kind and want to grow professionally while having a lot of fun. :)

Industry
Marketing & Advertising
Company Size
201-500 employees
Headquarters
Hamburg, DE
Year Founded
2016
Website
applike-group.com
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