Senior Machine Learning Engineer, Advertiser Growth

- Advanced degree in computer science or relevant engineering-related field or equivalent experience. - 4+ years of software engineering experience, including 1+ year working on ads delivery systems. - Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala. - Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms. - Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context. - A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount. - Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation. - Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback. - A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.