Principal Software Engineer - Models

Highlights

• Own frontend architecture for the W&B app used daily by ML researchers.
• Define performance targets and prove improvements with production data.
• Shape API design with backend teams to move work out of the client.

What they offer

• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment

Ideal candidate

Operator-minded frontend architect who loves performance at scale, measures everything in production, and thrives building consensus across teams to land complex overhauls.

Requirements

• 8+ years building user-facing software, with deep expertise in frontend architecture and performance
• Have led the transformation of a large, long-lived React application with a focus on performance, product impact and dev experience and owned the outcome
• Strong command of React and TypeScript, with production experience in GraphQL and a modern state management approach such as Redux or Zustand, including opinions on when each is the right tool
• Real performance engineering skill: you can instrument an application, read both frontend and backend traces, determine precisely where time is going, and prove the improvement with numbers
• Solid client-side caching fundamentals, including normalization, invalidation, and the failure modes that appear at scale
• Hands-on experience with bundlers and build tooling, and clear views on code splitting and delivery tradeoffs
• Enough backend depth to design systems at a high level. You can propose a new API architecture in service of a faster client and reason about its frontend implications
• Track record of validating ideas, coordinating across engineering teams, and sequencing work that spans organizational boundaries
• An operator mindset: you measure, you ship, you follow through, and you stay close to production
• Experience introducing automated enforcement such as lint rules, CI gates, or performance budgets that changed engineering behavior broadly