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Overview
Mid-Level

Software Engineer, Registry- Weights & Biases

Confirmed live in the last 24 hours

Weights & Biases

Weights & Biases

Compensation

$109,000 - $160,000/year

San Francisco, CA / Sunnyvale, CA / Bellevue, WA / Remote - US
Hybrid
Posted February 13, 2026

Job Description

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, 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.

What You’ll Do:

Reporting to the Engineering Manager, you will help evolve the Registry—the system ML and product teams use to catalog, discover, and manage models, datasets, and related assets across the organization. The team is now focused on scaling the platform for high-throughput enterprise use. You’ll implement well-scoped features across the stack, learn from senior/staff engineers, and contribute to a product used by some of the largest ML teams in the world.

As a full-stack engineer, you will collaborate with engineers, product, and design to ship user-focused improvements quickly and safely. As the platform grows, you’ll help build the foundations that make these capabilities reliable and delightful.

About the role: 

  • Deliver well-scoped features and projects with growing independence (frontend, backend, or both).
  • Contribute to executing the Registry roadmap: implement new functionalities, build accessible, performant components; and smooth out rough edges.
  • Apply system design principles at a basic level to build scalable and maintainable solutions.
  • Identify and propose small improvements in code quality, performance, or team processes.
  • Collaborate with product and design to translate user needs into clear technical implementations.
  • Contribute to code reviews, providing thoughtful feedback and learning from peers.
  • Proactivel
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