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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
