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Senior Software Engineer, Launch & Sandboxes - Weights & Biases

Weights & BiasesWeights & Biases·Artificial Intelligence / Machine Learning

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~12 min

Company site

Posted

56 days

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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

You'll be joining the Launch & Sandboxes team within the ML Workflows organization. Our team owns two interconnected product areas: Sandboxes, W&B's cloud execution environments that let ML practitioners run code in isolated, GPU-enabled containers directly from the W&B platform, and Launch, which handles job launching, compute orchestration, and integration with HPC schedulers. We build the infrastructure that connects W&B's experiment tracking and model development tools to the actual compute where ML work happens, spanning Kubernetes clusters, HPC nodes, and cloud VMs.

About the role

As a Senior Engineer on the Launch & Sandboxes team, you'll work across the full stack of our execution infrastructure, from the backend services that manage sandbox orchestration and billing to the Python SDK that ML practitioners interact with daily. Your day-to-day will involve building and scaling our container orchestration layer, developing SDK integrations that make sandboxes a seamless part of the W&B workflow, and extending our compute integrations for HPC customers. You'll work on real distributed systems problems: container lifecycle management, federated authentication, usage-based billing, and se

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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?

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About Weights & Biases

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.

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