Senior Machine Learning Engineer (f/m/d)
- Hamburg
- adjoe
- Programmatic Data Science
- Full time
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.
We welcome applications from people who will contribute to the diversity of our company.
Tips & Tricks to Nail Your Interviews!
Skip cover letters
Check your equipment
Do some research
Prepare an elevator pitch
Structure your answers
Let your personality shine
Come with your questions
Don’t be afraid of rescheduling
Recruiting FAQs
We 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.
Great! Please allow a few days for our team to review your application. We will contact you with the next steps as soon as possible.
We’ll never ask you for money, fees, or sensitive information (like bank details, tax forms, or credit card numbers) during the hiring process.
If anything feels off, you can always double-check by reaching out to our Talent Acquisition team at ta@applike-group.com.
Once you’ve signed your contract, our HR team may request personal details, but only from our official email: hr@applike-group.com.
No, we do provide full visa and relocation support.
We do! You can find more information about our relocation support and the succesful relocation of our colleagues here on this website.
No problem! Our visa and relocation support does also include your partner or kids. (Please be aware that legal marriage is often times a requirement to obtain a partner-visa).
If you prefer 100% remote companies, applike is not the right place for you because we strongly believe in face-to-face collaboration. However, we did implement a hybrid working model where we are in the office at least three days a week (Monday, Tuesday, and Thursday) and can work remotely the remaining two days. Additionally, you get three whole weeks per year to work fully remotely if you want.
Our hybrid working approach involves being in the office at least three days a week (Monday, Tuesday, and Thursday) and the option to work remotely the remaining two days. Flexible working hours mean that we work Monday-Friday, but do not have fixed working hours. Just make sure to adapt to the rhythm of your team.
The headquarters of the applike group and all its subsidiaries are located in Hamburg, Germany. We do have offices in the US and APAC.
Well next to the fact that you are able to see and collaborate with your colleagues face-to-face, we have a super modern office that leave no wishes open: from Drinks & Snack, areas to work away from your desk to a fully equiped gym.
Yes, you can!
Couldn’t find the perfect job offer?
Nevermind! We are always interested to get in touch with new talents.