Senior Machine Learning Engineer (Advertiser Growth)

Join Unity, a leading company in the ad-tech ecosystem. As a Senior Machine Learning Engineer, you will play a crucial role in architecting GenAI systems, designing pacing algorithms, ensuring billing pipeline reliability, and building experimentation infrastructure. This high-stakes position directly impacts Unity's financial integrity and long-term growth. You will work on next-gen budget pacing, creative GenAI infrastructure, marketplace experimentation engine, high-scale billing reliability, and scientific optimization. Enjoy comprehensive benefits, including health insurance, employee stock ownership, generous vacation, and more.

• Architect and optimize sophisticated pacing controllers to ensure optimal delivery and marketplace stability.
• Lead the backend integration of Generative AI models to automate the creation of high-performing image and video assets.
• Build and scale the infrastructure for high-velocity experimentation, including A/B testing and long-term holdouts.

• 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 proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation
• Advanced degree in computer science or relevant engineering-related field or equivalent experience
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala
• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security