Staff Software Engineer, Infrastructure- Marimo at Weights & Biases

About the role

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:

At marimo, we’re on a mission to make the world’s best open-source programming environment for working with data, together with a world-class, scalable, and performant cloud-hosted counterpart. marimo is a reinvention of the Python notebook — it feels like a next-gen reactive Python notebook, but is stored as pure Python that can be versioned with Git, deployed as a data app, run as a script, and reused as a module. Incubated initially with scientists at Stanford, marimo is now used by leading companies, labs, and universities around the world, with millions of downloads since launch and over 17,000 stars on our GitHub repository.

On the marimo team, we believe that the tools we use shape the way we think — better tools, for better minds. If you're passionate about developer tools, thrive in ambiguity, enjoy solving challenging engineering problems at scale, and yearn for greenfield problems, you'll fit right in.

The molab team develops a cloud-hosted marimo notebook service called molab. molab lets anyone in the world experiment with data, build interactive apps, and share their work for free, all using the open-source marimo notebook and accelerated by AI-assisted coding. This is a high impact team an

Skills & Tags

react python go rust aws kubernetes ai frontend

Aplyr's read

Weights & Biases is a hub for AI enthusiasts, offering cutting-edge tools for seamless machine learning development and collaboration.
Synthesized from recent postings & public sources

What's promising

•Strong focus on enhancing productivity for machine learning practitioners.
•Offers comprehensive tools for experiment tracking and model optimization.
•Highly valued by data scientists for improving workflow efficiency.

What to watch

•Limited public information about company culture and work-life balance.
•Potentially high pressure due to rapid AI industry changes.
•Niche focus may limit appeal to broader tech professionals.

Why Weights & Biases

•Specializes in tools specifically designed for machine learning workflows.
•Emphasizes collaboration among data scientists and engineers.
•Provides a platform that integrates seamlessly with popular ML frameworks.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Weights & Biases

Weights & Biases

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Weights & Biases is a leading platform for machine learning practitioners, providing tools for experiment tracking, model optimization, and collaboration. Their solutions empower data scientists and engineers to streamline their workflows and improve productivity in developing AI models.