Senior/Staff ML Scientist - Bidding & Optimization

Описание

The Data Science Research team builds foundational algorithms for real-time bidding, budget pacing, and allocation mechanics across adjoe's products, using advanced AI.

Responsibilities

• Translate research into production, architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests
• Lead architectural debates, collaborate closely with Product Managers and Engineers to map business goals to mathematical objective functions
• Mentor junior scientists, and drive the team's research direction
• Own projects with impact on 770M users and push adtech boundaries
• Ship solutions multiple times a day, learn from results, and keep momentum
• Solve problems openly and collaborate across teams

Requirements

• PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and 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 expertise in Reinforcement Learning and Optimization with hands-on theoretical and technical expertise in objective-based optimization, control theory, or RL applied to bidding, pricing strategy, and budget pacing under extreme production constraints
• Mastery of high-dimensional data at scale, large-scale Bayesian inference and handling sparse, high-dimensional advertising data
• Strong proficiency in Python and related stacks
• Ability to architect scalable data pipelines that feed real-time optimization models

We offer

• Relocation support to Hamburg, Germany
• Work on systems that reach hundreds of millions of users and power billions of decisions every day
• Grow with a diverse, global team of people from over 40 countries

Hiring process

• Please mention “I found this job at Remocate!” when applying