About adjoe
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.
Responsibilities
•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
Requirements
•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
Conditions
•Relocation support to Hamburg, Germany is available
