Key skills
JavaScriptTypeScriptReactWeb-based visualization librariesFront-end performance optimizationCanvasWebGLReact visuPlotMachine Learning workflowsAIMachine LearningML
About this role
CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create a powerful platform to develop and deploy AI faster. The role involves working on Data Visualization to enhance the user interface for experiment tracking, focusing on performance and interactivity for AI practitioners.
Responsibilities:
- You will join the fullstack Weights & Biases 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
- As a Front End Engineer working 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 user experiences and with back-end engineers on your team to optimize data streaming for charts
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
- 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