Senior/Staff ML Scientist - Bidding & Optimization (f/m/d)

The role

The Data Science Research team builds foundational algorithms for real-time bidding, budget pacing, and allocation mechanics. You will translate research into production-ready code and architect auction mechanics and bidding engines.

What you will do

• Translate research into production-ready code optimized for sub-millisecond latency
• Architect sophisticated auction mechanics, real-time bidding engines, and allocation algorithms
• Lead architectural debates
• Collaborate with Product Managers and Engineers to map business goals to mathematical objective functions
• Mentor junior scientists
• Drive the team's research direction

Required qualifications

• PhD in CS, Statistics, Math, or Physics or an MSc with extensive industry research
• Track record of peer-reviewed publications in fields like 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 technical expertise in objective-based optimization, control theory, or RL applied to bidding, pricing strategy, and budget pacing
• Proficiency in Python and related stacks
• Experience with large-scale Bayesian inference and handling sparse, high-dimensional advertising data
• Experience architecting scalable data pipelines

Benefits

• Relocation support to Hamburg, Germany

About the company

adjoe builds the technologies behind mobile app growth and monetization. Their products, Playtime Arcade and adjoe Ads, run on 13% of the world's smartphones.