Software Engineer - ML Model Training

Weights & Biases•Sunnyvale, CA

2d•$182,000 - $242,000•Onsite

About The Position

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.

Requirements

Extensive experience with modern JavaScript/TypeScript and React.
Knowledge of web-based visualization libraries.
Demonstrated ability to measure and optimize front-end performance, specifically for rendering large datasets and maintaining 60fps interactions.
Work isn’t about moving tickets across a board; it’s about building deep knowledge of technical systems to improve how they function
You like to share what you’ve learned with others on the team, and you’d enjoy hopping in huddles with others to debug a customer issue.

Nice To Haves

Background in Machine Learning workflows or a strong interest in the AI/ML ecosystem.
Experience with Canvas/WebGL or visualization libraries like Canvas/WebGL or visualization libraries like React vis or uPlot. React vis or uPlot. React-vis and uPlot.

Responsibilities

You will join the fullstack fullstack W&B History History team, specifically focusing on the core visualization engine that powers experiment tracking for over 1,000 organizations and labs building AI across LLMs, agents, robotics, drug discovery, and more and labs building AI across LLMs, agents, robotics, drug discovery, and more.
Our team is dedicated to building highly performant, interactive, and intuitive tools that help ML practitioners visualize complex training metrics in real-time.
As a Front End Engineer working onworking on Data Visualization, your primary focus will be the architecture and performance of line plots within the W&B UI.
You will scale charting components to handle millions of data points with smooth interactivity.
You will implement new features that help AI researchers at the world’s top labs explore their data and build better models.
You will collaborate with product designers to refine the user experiences and with back-end engineers on your team to optimize data streaming for charts.