Senior Machine Learning Engineer (f/m/d)

Stellenbeschreibung:

The interview process at applike group is seamless, fast, and fun for you! Recruiting is a two-way street, so that’s why our process is designed for both you and us to get to know each other. Our Talent Acquisition team is there to guide you through the process, making sure you will receive the best candidate experience. The process is usually divided into 5 major steps:First InterviewIn the first interview you will meet someone from the Talent Acquisition team to get to know more about the company, our culture and the open role.Case Study StepWe designed this step to get a deeper understanding of your skills and also give you some insights into tasks that might be awaiting you in the new role.#### Senior Machine Learning Engineer (f/m/d)* Hamburg* adjoe* Programmatic Data Science* Full-timeis 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 ecosystem, adjoe is home to an , powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.**Meet Your Team: Programmatic Data Science**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:**- **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.manage\_search### Do some research!We will give you all the information about the role & company’s culture, but it’s always nice to see how you perceive us after doing some online detective workperson\_celebrate### Let your personality shineIt is a recruiting process, but this doesn’t mean you can’t loosen up and showcase your personality. We are looking for an authentic character and we are open to having some small talk or a funny joke thrown into the mix. This might even show us that you’re a good cultural fit. Remember, we like to have fun!## Finding Home Abroad – Relocation StoriesWe’re supporting new colleagues from all over the world to move to Hamburg, Germany – see what they have to share about their relocation experience:“Moving to Hamburg was a breeze thanks to adjoe/applike. They managed every detail, from flights to accommodation, and their thorough support made me feel valued even before starting my new role. The entire experience was smooth and memorable, making my transition to this beautiful city unforgettable.”Kim – adjoerelocated from the PhilippinesWe aim to make our recruiting process as fast and efficient as possible, but the duration can vary depending on the role you are applying for. Usually we are really fast, though (less than 4 weeks).Yes, if you see multiple roles open that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best seems to match your skills.Yes, if you see multiple roles that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best matches your skills.
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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    02 Sep 2026
  • Standort:

    Hamburg
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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