adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Architecting Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.
Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.
Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
Your Mission & Who We Are Looking For:
Proven track record in production ML. You have 5+ years in Data Science with a history of deployed models that moved real business metrics, not just research that stayed in notebooks. At adjoe, you'll be building models that predict LTV, conversion, and user behavior across 770 million users, directly impacting advertiser ROAS and publisher revenue.
Deep learning is your primary tool. You have strong hands-on experience with PyTorch or TensorFlow and have deployed deep learning models in production environments handling 1M+ daily predictions. You know the difference between a model that works in evaluation and one that holds up under real traffic.
Full ML lifecycle ownership. You own the problem end-to-end from extracting insights out of terabytes of behavioral data using Trino, Spark, or AWS Athena, through model development and A/B validation, to production deployment. Experience with Airflow or model hosting is a strong plus.
Fluent in both Python and data at scale. You work comfortably with the core DS stack (pandas/polars, numpy, scikit-learn, LightGBM, CatBoost, XGBoost) and have advanced SQL skills for drilling into large distributed datasets.
Bridges ML and product. You can translate product requirements into ML logic and explain model behavior and impact to non-technical stakeholders without losing the technical depth underneath. AdTech experience is a strong plus.
What’s in It for You?
Go Big. Own projects with impact on 770M users and push adtech boundaries.
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
Be Direct. Solve problems openly and collaborate across teams.
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
Skills Required
- 5+ years of professional experience in Data Science
- Strong knowledge of Python and main Data Science libraries
- Experience developing and deploying deep learning models in production
- Advanced SQL skills and experience with distributed query engines
- Ability to explain complex mathematical concepts in simple terms
What We Do
applike group is the leading company building in the app economy. Our technologies + businesses to cover the full value chain of the mobile apps market. Our companies work independently, but benefit from each others’ technologies and knowledge. We are 4 companies (JustDice, adjoe, Sunday, justtrack) under one roof of applike group. justDice: We build exciting app-discovery products for mobile gamers. With >50 million users we are the global market leader, while still growing rapidly every day adjoe: We build new technologies and ad formats that create a competitive edge for mobile app developers. Sunday: We create and publish extremely engaging and addictive mobile games with smart and player-friendly monetisation justtrack: One-stop software to automate your whole user acquisition process. This would be inconceivable without the 3 developer teams that form the core of applike group. We are 100 percent tech company where everybody is interested in computer science. We are always giving our best to get in touch with the newest technology in order to build the most relevant products. Our mission is to build software with the capability to distribute ads to every mobile device on earth.
