Software Engineer, Sweeps - Weights & Biases
Weights and BiasesLivingston, NJ / New York, NY / San Fransisco, CA / Sunnyvale, CA / Bellevue, WA$109k – $160kPosted 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.
What You’ll Do:
As a software engineer on the Sweeps team, you’ll take end-to-end ownership of a user-facing product that helps practitioners design and run hyperparameter searches. You’ll balance maintaining existing systems with building new functionality, and regularly debug real user workflows that span backend logic, the UI, and user-run agents.
Sweeps is a core part of the WB product, and changes you make will directly affect how users configure experiments, run workloads on their own infrastructure, and reason about results.
About the role:
Own the development and evolution of the Sweeps product, maintaining existing systems while designing and shipping new functionality with a focus on backend logic and APIs
Implement and evolve sweep semantics and hyperparameter generation logic
Debug and resolve user-reported issues that may involve backend behavior, agent execution, or UI interactions
Improve reliability, performance, and correctness of sweep execution as usage scales
Build and maintain integrations between Sweeps and external hyperparameter tuning libraries (e.g. Optuna, Ray Tune)
Who You Are:
4+ years of experience in software engineering
Backend-leaning full stack engineer with experience building and maintaining user-facing products
Strong software engineering fundamentals and experience with at least one modern language such as Python, Go, or TypeScript
Comfortable working in and improving legacy systems while incrementally shipping new features
Able to debug complex, real-world user workflows that don’t always fit neatly into isolated components
Comfortable working with a high degree of ownership and autonomy in a fast-paced environment
Able to collaborate effectively with PMs and cross-functional partners to turn user needs into technical solutions
Preferred:
Experience working on experimentation systems, developer tools, or ML-related products
Familiarity with hyperparameter optimization or ML workflows
Experience integrating third-party libraries or SDKs into a product
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
You enjoy owning a product ... (truncated, view full listing at source)
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