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Job description
Join the Launch & Sandboxes team within the ML Workflows organization to build the infrastructure that connects W&B's experiment tracking and model development tools to the actual compute where ML work happens. As a Senior Engineer, you'll work across the full stack of our execution infrastructure, from backend services to Python SDK.
Build and scale our container orchestration layer, develop SDK integrations, and extend our compute integrations for HPC customers. You'll work on real distributed systems problems, such as container lifecycle management, federated authentication, usage-based billing, and secrets management.
We're looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.
Company
Tech, Software & IT Services
Weights & Biases is an AI developer platform that streamlines the entire machine‑learning lifecycle, from experimentation to production. Its flagship products—W&B Models for MLOps and W&B Weave for LLMOps—provide lightweight, powerful toolsets that enable teams to fine‑tune large language models, track experiments, and monitor deployments with ease. Trusted by more than 1,000 organizations including OpenAI, Meta, and Microsoft, the platform delivers robust AI governance, reproducibility, and observability at scale. The company’s developer‑centric culture emphasizes open collaboration, rapid iteration, and a focus on making advanced AI accessible to teams across industries.