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NEXTMOVEFDE careers · United States

Staff Backend Engineer, ML Inference Systems

AI summary of the role

Builds and operates distributed ML inference backend systems for Unity's Vector Gamer AI team serving ad ranking across billions of daily impressions.

What you’ll do

  • Design, develop, deploy production backend services for large-scale online model inference.
  • Drive technical direction of inference platform for low-latency, high-throughput serving.
  • Manage and optimize GCP infrastructure with Kubernetes in production.

What you’ll bring

  • >5 years designing, deploying, and maintaining distributed systems at scale.
  • Expertise in Golang for high-performance, low-latency backend infrastructure.
  • Hands-on experience with GCP and Kubernetes orchestration.

Technologies

Golang · GCP · Kubernetes · Prometheus · Grafana · Docker · CI/CD · NVIDIA Triton Inference Server · microservice architectures

About Unity

Builds real-time 3D creation, deployment, ads, monetization, and commerce tools for developers making games and interactive experiences across platforms.

Public · 2000–5000 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

The opportunity Every day, we connect billions of players with the games and experiences they love. Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale. We're hiring a Staff Backend Engineer to build and operate the infrastructure those models depend on. You'll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems. Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded. What you'll be doing Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests
More from the job description

The opportunity Every day, we connect billions of players with the games and experiences they love. Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale. We're hiring a Staff Backend Engineer to build and operate the infrastructure those models depend on. You'll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems. Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded. What you'll be doing Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana Manage and optimize cloud infrastructure on GCP, orchestr [... 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

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