Senior Software Engineer, Registry

Core Weave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME
100 most influential companies of 2024. By bringing together Core Weave’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 Core Weave, 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.

Reporting to the Engineering Manager, this Senior/Staff Software Engineer - Registry Platform will own the technical architecture and evolution of our Registry product. This role will lead the critical transition from our legacy Model Registry to a scalable, organization-wide Global Registry platform, while also architecting for a future that supports the extensive needs of large foundation model builders and customers focused on ML model fine-tuning, compliance, system-of-record requirements, and comprehensive monitoring capabilities.

This Senior/Staff Software Engineer will partner closely with product managers, ML platform engineers, and the design team to build and implement a robust, performant registry system that meets the growing demands of enterprise ML teams while maintaining a seamless user experience during the transition.

• Lead the architectural transformation of our Registry platform, designing systems that scale to support millions/billions of artifacts for our customers.
• Dive deep into system architecture to uncover optimization opportunities, solve complex bugs, and make difficult technical decisions that balance short-term fixes with long-term platform health.
• Identify and refactor areas of technical debt, improving code maintainability and developer productivity.
• Mentor a team of 3-4 Software Engineers through complex technical challenges, elevating their capabilities through code reviews and design guidance.
• Establish engineering patterns and best practices that balance immediate feature delivery with long-term platform health.
• Collaborate with product and design to translate complex user requirements into elegant technical implementations.
• Interface directly with customers to understand their ML workflow challenges, gathering feedback and incorporating it into the product development cycle.
• Practice agile methodologies with users at the center, maintaining a closed feedback loop from customer need to technical implementation to validation.

• 7+ years of software engineering experience, with 3+ years leading significant technical initiatives or architectural changes
• Strong proficiency in Python
• Strong proficiency in at least one compiled language (C++, C, C#, Go), with Go experience being a significant bonus
• Expert-level Type Script knowledge with demonstrated ability to implement deep frontend optimizations and complex state management
• Advanced experience with Graph
  
  QL APIs, query optimization, and sophisticated data fetching strategies
• Demonstrated success improving…