About the job
Unity's Vector AI team sits at the intersection of large-scale machine learning and real-world impact: our models govern ad ranking and bidding decisions across billions of daily impressions. Get the models right so players can discover games they love.
Responsibilities
Design and ship user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions.
Own model quality from deployment onward: calibration, drift detection, and feedback loop management.
Shape how the team builds, contributing to long-term technical strategy and overseeing engineering execution.
Bridge the gap between ML complexity and business reality, communicating clearly with non-technical partners.
Qualifications
Minimum
Master or Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience.
2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains.
Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation.
Production experience in Python and at least one systems language (Go, Scala, C++, or similar).
Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
Knowledge of metric design, experimentation methodologies, and large-scale data.
Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.
Preferred
Experience with real-time bidding systems, auction dynamics, or marketplace optimization.
Publications or patents in relevant areas.