Senior Backend Engineer, Vector AI — Low-Latency Inference

Unity Enterprise

Mountain View (CA)

Presencial

USD 166.000 - 273.000

Jornada completa

Hace 4 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Employee stock ownership
Commuter subsidy
Health insurance
Generous vacation and personal days

Descripción de la vacante

Unity is seeking a Senior Backend Engineer to design, build, and operate distributed systems powering large-scale model inference. You’ll optimize low-latency serving and collaborate with ML engineers to scale complexity and throughput.

Join a team ensuring reliable, scalable infrastructure across billions of daily decisions in a fast-paced ad-tech environment. Hybrid work with strong observability and cloud-native practices are emphasized.

Formación

  • 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, focusing on low-latency, high-throughput serving infrastructure.
  • Partner with ML engineers to scale online serving infrastructure with growing model complexity and inference volumes.

Responsabilidades

  • Design, develop, and deploy production-grade backend services and distributed systems powering large-scale model inference at billions of daily requests.
  • Drive technical direction of our inference platform with a focus on low-latency, high-throughput serving infrastructure.
  • Promote best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE), and manage cloud workloads on GCP with Kubernetes.

Conocimientos

Golang
Kubernetes
GCP
Prometheus
Grafana
CI/CD
Distributed systems
Low-latency
ML inference
Ad tech

Herramientas

Docker

Descripción del empleo

Unity is seeking a Senior Backend Engineer to design, build, and operate distributed systems powering large-scale model inference. You’ll optimize low-latency serving and collaborate with ML engineers to scale complexity and throughput.

Join a team ensuring reliable, scalable infrastructure across billions of daily decisions in a fast-paced ad-tech environment. Hybrid work with strong observability and cloud-native practices are emphasized.

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