UnityEngineering

Senior Machine Learning Developer, Advertiser Growth

Remote (Canada)$125,600—$169,500 CADPosted today

Unity is building a world-class ad-tech ecosystem, focusing on innovative solutions at the intersection of financial execution, creative innovation, and marketplace science. The role involves architecting GenAI systems, designing pacing algorithms, ensuring billing pipeline reliability, and building experimentation infrastructure to support the growth and integrity of Unity's marketplace.

Location: Remote (Canada)

Salary: $125,600—$169,500 CAD

Responsibilities

Next-Gen budget pacing: 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.
Creative GenAI infrastructure: 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.
Marketplace experimentation engine: 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.
High-Scale billing reliability: 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.
Scientific optimization: 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.

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.