Software Engineer, Workspaces

Core Weave, the AI Hyperscaler™ acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME
100 most influential companies of 2024. By bringing together Core Weave’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 Core Weave, 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.

Reporting to the Engineering Manager for Work spaces, you’ll join a collaborative team responsible for delivering end-to-end product features within our Models product
—the central hub for experiment tracking and visualization.

Thousands of Machine Learning Engineers rely on our tools every day to monitor and understand their ML training runs. To see the kind of work you’ll contribute to, check out an example workspace or try our tutorial. The Colab notebook requires no prior ML experience to run, and we’re proud of how easy it is to get started.

This role sits within our Models Engineering organization, where we focus on building features that streamline and centralize the machine learning development workflow. As a Product Software Engineer, you’ll work directly with customers and cross‑functional teams to build experiences that accelerate ML model development.

• Contribute to new product initiatives that help our customers (ML engineers) analyze and share information
• Work closely with senior developers to tackle technical challenges and improve system performance
• Help improve team productivity by sharing ideas, improving documentation, or streamlining development workflows
• Collaborate with designers, product managers, and customer support to understand user needs and improve the product based on feedback
• Participate in code reviews, team discussions, and sprint planning to grow your skills and contribute to team goals

• 2–5 years of experience building and maintaining user‑facing web applications (through internships, academic projects, or early‑career roles); exposure to data visualization or time‑series data is a plus
• Familiarity with modern web development tools and frameworks, such as React, Type Script, GraphQL
• Solid understanding of programming fundamentals and experience with at least one modern language (e.g., Go, Python, C++, Java, JavaScript)
• Enthusiasm for learning how to build reliable, high‑quality software through hands‑on experience, mentorship, and feedback
• Curiosity and persistence in understanding ambiguous problems and exploring potential solutions with a tendency towards action
• Ability to work with product and customer‑facing teams to translate user feedback into technical solutions
• Interest in the AI/ML space and motivation to grow in a fast‑paced, mission‑driven environment

The base pay and target total cash for this position range from $120,000–$160,000. The starting salary will be determined based on job‑related knowledge, skills, experience,…