Principal ML/Systems Engineer
Core
Designing, building, and running large-scale backend and data systems for AI/intelligent workloads.
Role type
Principal hands-on IC systems engineer
Builds
Large-scale data pipelines, data lakes, high-throughput backend systems, and distributed systems
Domain
Cloud infrastructure, distributed systems, data engineering
Deliverable
production ML models
Required skills
Distributed systems architecture, cloud infrastructure, data pipelines, API design, system migration, observability, security, production code generation
Preferred skills
Frontier model usage, system migration leadership, production incident management
Technologies
Cloud infrastructure, datastores, queues, streams, storage systems
Responsibilities
Build and operate large-scale data pipelines and data lakes; Design high-throughput, low-latency backend systems; Architect distributed systems; Own production reliability; Design secure APIs; Write and review critical-path code
Seniority
Principal, hands-on IC