About this role
Senior/Staff ML Scientist - Bidding & Optimization (f/m/d) is a full-time position based in Berlin that suits an experienced machine learning professional specializing in real-time bidding, reinforcement learning, and auction mechanisms. This role is ideal for a candidate with advanced academic credentials and a strong background in production-level adtech systems.
Role Overview
The Data Science Research team at adjoe develops foundational algorithms for real-time bidding, budget pacing, and allocation mechanics. The position operates within a deep-tech layer utilizing reinforcement learning, control theory, and objective-based optimization to balance advertiser return on investment, platform health, and user relevance across global mobile advertising products.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
adjoe constructs technologies for mobile app growth and monetization, offering two main products known as Playtime Arcade and adjoe Ads. The company operates across rewarded engagement and programmatic in-app advertising, reaching a large share of the global smartphone market and connecting advertisers, publishers, and hundreds of millions of users.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the position located?
The job is based in Berlin, with relocation support provided to Hamburg, Germany for international applicants.
What qualifications are required for this role?
Candidates need a PhD in Computer Science, Statistics, Mathematics, or Physics, or an MSc with extensive industry research, plus peer-reviewed publications in relevant fields and at least four years of experience optimizing complex systems.
What technology stack does the team use?
The tech stack includes Python, PyTorch, distributed architectures for Bayesian inference, Trino, Athena, and dedicated GPU infrastructure.
Is visa sponsorship or relocation assistance available?
While visa sponsorship is not explicitly detailed, the company welcomes applications from talent worldwide and provides relocation support to Hamburg, Germany.