Senior Real-Time ML Infrastructure Engineer

Unity Technologies; United States; A distancia; USD 184.000 - 249.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Employee stock ownership

Retirement plans

Generous vacation and personal days

Commute subsidy

Descripción de la vacante

Unity Technologies is seeking a Senior Machine Learning Infrastructure Engineer to join the Vector Ads team, building real-time systems powering Unity’s global advertising platform. This role focuses on taking ML models from training to production, ensuring ranking, bidding, and targeting run reliably at scale.

You will design and operate infrastructure that serves ML models in real-time across Unity’s ads ecosystem, collaborating with ML engineers to productionize models and improve deployment

Formación

• Experience deploying ML models to production in real-time systems.
• Strong systems engineering fundamentals in Golang or Python.
• Experience with Kubernetes at scale and observability tooling.

Responsabilidades

• Design, build, and maintain infrastructure that serves ML models in real-time across Unity’s ads ecosystem
• Build and operate scalable model serving pipelines with low latency 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

Conocimientos

ML infrastructure

Golang

Python

Kubernetes

Model serving

Distributed systems

Remote collaboration

Herramientas

Ray Serve

Triton

TorchServe

Descripción del empleo

Unity Technologies is seeking a Senior Machine Learning Infrastructure Engineer to join the Vector Ads team, building real-time systems powering Unity’s global advertising platform. This role focuses on taking ML models from training to production, ensuring ranking, bidding, and targeting run reliably at scale.

You will design and operate infrastructure that serves ML models in real-time across Unity’s ads ecosystem, collaborating with ML engineers to productionize models and improve deployment