Senior Machine Learning Infrastructure Engineer
New
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary183,700 - 248,600 USD per year
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Job Details
- Languages
- English
- Required Skills
- PythonKubernetesGoDistributed Systems
Requirements
- Experience building and operating ML infrastructure or model serving systems in production
- Proficiency in Golang or Python, with strong systems engineering fundamentals
- Hands-on experience with Kubernetes and container orchestration at scale
- Familiarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similar
- Understanding of distributed systems, API design, and system reliability
- Strong collaboration and communication skills in a remote-first environment
Responsibilities
- 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
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