Описание
adjoe builds technologies for mobile app growth and monetization. Its Playtime Arcade and adjoe Ads products cover rewarded engagement and programmatic in-app advertising, connecting advertisers, publishers, and users.
Задачи
- Translate state-of-the-art research into robust, production-ready code optimized for sub-millisecond latency
- Architect auction mechanics, real-time bidding engines, and allocation algorithms
- Apply reinforcement learning, objective-based optimization, and control theory to bidding, pricing strategy, and budget pacing
- Handle large-scale Bayesian inference and sparse, high-dimensional advertising data
- Architect scalable data pipelines that feed real-time optimization models
- Lead architectural debates and map business goals to mathematical objective functions with Product Managers and Engineers
- Mentor junior scientists and drive the team’s research direction
Требования
- PhD in Computer Science, Statistics, Mathematics, or Physics, or an MSc with extensive industry research
- Peer-reviewed publications in Computational Advertising, Auction Theory, Mechanism Design, or Game Theory
- 4+ Years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading
- Deep theoretical and practical expertise in objective-based optimization, control theory, or reinforcement learning applied to bidding, pricing strategy, and budget pacing
- Strong proficiency in Python and related stacks
- **Nice to have:** None
Условия
Relocation support to Hamburg, Germany is available
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ML scientist for bidding optimization in Berlin Arbeitgeber: adjoe
adjoe ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, an innovativen Technologien im Bereich Mobile Apps zu arbeiten. Mit einem dynamischen und unterstützenden Arbeitsumfeld fördert adjoe nicht nur die persönliche und berufliche Weiterentwicklung, sondern ermöglicht auch die Zusammenarbeit in einem vielfältigen Team aus über 40 Nationen. Hier haben Sie die Chance, an Projekten zu arbeiten, die täglich Hunderte von Millionen Nutzern erreichen und dabei Spaß an der Arbeit zu haben.
