Software Engineer, Sweeps - Weights & Biases 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:

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 W&B 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
Skills & Tags
python typescript go rust aws ai backend data

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

wandb.ai

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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.