Senior Machine Learning Developer, Advertiser Growth

Unity Technologies

About The Position

The Advertiser Growth team at Unity is responsible for building a world-class ad-tech ecosystem. This role is crucial for ensuring that as the marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact. The roadmap for 2026 is defined by three pillars: Foundation, Smart, and Intelligence. This position offers technical breadth, operating at the intersection of financial execution, creative innovation, and marketplace science. The role involves architecting GenAI systems for high-performing creatives, designing pacing algorithms for multi-million dollar budgets, ensuring fault-tolerant billing pipelines, and building experimentation infrastructure for marketplace evolution. This is a high-stakes role where technical leadership directly impacts Unity’s financial integrity and the long-term growth of the ecosystem.

Requirements

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.
Sufficient knowledge of English to have professional verbal and written exchanges in this language.

Responsibilities

Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.