Senior Software Engineer, Registry - Weights & Biases
Weights and BiasesLivingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA$165k – $220kPosted 7 April 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.
About the Role:
Reporting to the Engineering Manager, this Senior 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 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.
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.
Minimum Qualifications:
7+ years of software engineering experience, with 3+ years leading significant technical initiatives or architectural changes
Advanced experience with GraphQL APIs, query optimization, and sophisticated data fetching strategies
Strong proficiency in Go or at least one other compiled language (C++, C, C#, Go)
Strong proficiency in Python
TypeScript knowledge with demonstrated ability to implement deep frontend optimizations and complex state management
Demonstrated success improving performance and ma ... (truncated, view full listing at source)
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