Senior/Staff ML Scientist - Bidding & Optimization

About the role

The Data Science Research team builds foundational algorithms for real-time bidding, budget pacing, and allocation mechanics. This role involves translating complex business constraints into mathematical objectives and deploying core algorithmic frameworks in high-load, low-latency production environments. You will work at the intersection of auction mechanism design and state-of-the-art machine learning to optimize systems serving hundreds of millions of users.

Responsibilities

• Architect sophisticated auction mechanics, real-time bidding engines, and allocation algorithms.
• Translate academic research and offline prototypes into robust, production-ready code.
• Lead architectural debates and collaborate with Product Managers and Engineers to map business goals to mathematical objective functions.
• Mentor junior scientists and drive the team's research direction.
• Architect scalable data pipelines to feed real-time optimization models.

Required skills

• Reinforcement Learning
• Optimization
• Control Theory
• Python
• Auction Theory
• Mechanism Design
• Bayesian inference
• AdTech

Nice to have

• Game Theory
• PyTorch
• Trino
• Athena

Qualifications

• PhD in CS, Statistics, Math, or Physics
• MSc with extensive industry research

Benefits

• Relocation support

About the Company

adjoe builds technologies for mobile app growth and monetization, including Playtime Arcade and adjoe Ads. Their products run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users.