- 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.
- Experience with real-time bidding systems, auction dynamics, or marketplace optimization (optional).
- Publications or patents in relevant areas (optional).