Senior Machine Learning Infrastructure Engineer
$183,700–$248,600 year
Remote · Mountain View Santa Clara County, California, United States
Job Summary
Senior ML Infrastructure Engineer to design, build, and operate real-time ML model serving infrastructure for Unity's Vector Ads team. Responsible for scalable model serving pipelines with attention to latency, throughput, and reliability in a high-QPS production environment. Will partner with ML engineers to productionize models, manage deployments, and accelerate iteration; improve observability, performance, and cost-efficiency of ML serving infra; contribute to architectural decisions around feature serving, model versioning, and inference optimization.
Required Qualifications
- 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
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