Senior Software Engineer, Metrics Platform - Weights & Biases

Weights & Biases•Sunnyvale, CA

7d•$139,000 - $204,000•Onsite

About The Position

The Metrics Platform team builds and scales the infrastructure behind Weights & Biases’ flagship Models product, which powers experiment tracking and analytics for over 2,500 of the world’s leading AI and ML teams. The team focuses on data ingestion, storage, and querying at a petabyte scale, optimizing for performance, reliability, and cost-effectiveness. As a Software Engineer, you’ll lead efforts to scale our metrics and storage systems to meet the needs of our most advanced customers. Day to day, you’ll set technical direction, balancing near-term deliverables with long-term architectural improvements. You’ll partner with product, revenue, and engineering teams across W&B to evolve our platform and ensure it continues to meet customer demands. You’ll also help mentor engineers and drive best practices across the organization.

Requirements

4+ years of experience in software engineering, with a focus on backend performance and/or distributed systems
Strong software engineering fundamentals and proficiency in at least one modern programming language (Python, Go, TypeScript, etc.)
Experience designing and scaling customer-facing APIs in production, ideally leveraging systems such as MySQL, Clickhouse, Bigtable, Pub/Sub, or Kafka
Hands-on experience with Kubernetes, Terraform, and at least one major cloud provider (GCP, AWS, or Azure)

Nice To Haves

Experience mentoring junior engineers and collaborating with other business functions
Background in large-scale metrics, logging, or analytics systems
Familiarity with designing cost-optimized storage and query infrastructure
You love building scalable systems that handle massive amounts of data efficiently
You’re curious about how ML teams use metrics and analytics to accelerate research
You’re an expert in distributed systems and API design

Responsibilities

Build and scale the infrastructure behind Weights & Biases’ flagship Models product.
Focus on data ingestion, storage, and querying at a petabyte scale, optimizing for performance, reliability, and cost-effectiveness.
Lead efforts to scale metrics and storage systems to meet the needs of advanced customers.
Set technical direction, balancing near-term deliverables with long-term architectural improvements.
Partner with product, revenue, and engineering teams to evolve the platform.
Ensure the platform continues to meet customer demands.
Help mentor engineers and drive best practices across the organization.