Senior Software Engineer, ML Workflows - Weights & Biases
Core
Own the architecture and evolution of core systems in the Weights & Biases platform, moving models and data through versioned layers, registries, automations, and execution infrastructure.
Role type
Senior Software Engineer (ML Workflows Platform)
Builds
End-to-end AI lifecycle platform including experiment tracking, model optimization, high-performance training clusters, agent building, and inference at scale.
Domain
AI Infrastructure / MLOps / Developer Tools
Deliverable
production ML models
Required skills
Go, Python, distributed systems, Kubernetes, GraphQL, system architecture, technical leadership, complex debugging, API design, event-driven systems
Preferred skills
ML infrastructure, MLOps, developer tools
Technologies
Go, Python, TypeScript, React, GraphQL, Kafka, ClickHouse, Kubernetes
Responsibilities
Design systems scaling to billions of artifacts; lead migrations of live customer traffic; refactor technical debt; establish engineering patterns; mentor engineers; collaborate with product/design; work directly with enterprise ML teams.
Seniority
Senior, hands-on IC with architectural ownership
