Senior Machine Learning Infrastructure Engineer

The opportunity Unity is looking for a Senior Machine Learning Infrastructure Engineer to join our Vector Ads team, where we build the real-time systems that power Unity's global advertising platform. This is a high-scale, low-latency environment — processing billions of requests daily to deliver fast, relevant ads to players around the world. You'll build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding, and targeting systems run reliably at scale. This is a great opportunity for an engineer who's excited to work at the intersection of ML systems and distributed infrastructure, collaborate across teams, and have direct impact on how machine learning shapes the player and advertiser experience. What you'll be doing Design, build, and maintain the infrastructure that serves ML models in real-time across Unity's ads ecosystem Build and operate scalable model serving pipelines — owning latency, throughput, and reliability in a high-QPS production environment Partner with ML engineers to productionize models, manage model deployments, and improve iteration speed Improve observability, performance, and cost-efficiency of ML serving infrastructure Contribute to architectural decisions around feature serving, model versioning, and inference optimization What we're looking for Experience building and operating ML [... source excerpt omitted ...] sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleag