ML Infrastructure Engineer
Core
Building scalable ML infrastructure for live, real-world video and wearable device data pipelines.
Role type
Senior ML Infrastructure Engineer
Builds
High-throughput video pipelines, training/inference systems for multimodal/LLM models, GPU infrastructure, hybrid edge-on-prem-cloud environments
Domain
AI Infrastructure, Computer Vision, Edge Computing
Deliverable
infrastructure
Required skills
High-throughput data pipeline engineering, GPU infrastructure management, hybrid cloud/on-prem architecture, multimodal/LLM model deployment, real-world data ingestion, performance optimization
Preferred skills
Experience with wearable device data, large-scale video processing
Technologies
None explicitly stated
Responsibilities
Design and build high-throughput video pipelines handling millions of hours of data; Develop training and inference systems for multimodal and LLM-based models; Optimize GPU infrastructure and performance; Manage hybrid environments spanning edge, on-prem, and cloud; Ensure end-to-end systems from ingestion to deployment
Seniority
Senior, hands-on IC
