Frontend Visualization Engineer for Real-Time ML Metrics

Weights & Biases; Livingston (NJ); On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Equity awards or ESPP

Job summary

CoreWeave is hiring a Front-End Engineer focused on data visualization to advance the W&B History visualization engine. You will optimize line-plot performance, scale chart components to millions of points, and implement new features enabling researchers to explore data and build better models.

Collaboration with designers and back-end engineers is essential to improve data streaming for charts. Proficiency in JavaScript/TypeScript, React, and web visualization libraries is required, with a

Qualifications

• Extensive experience with modern JavaScript/TypeScript and React.
• Knowledge of web-based visualization libraries.
• Ability to measure and optimize front-end performance for large datasets, 60 fps.
• Curiosity to dig into technical systems and continuously improve them.
• Collaborative mindset; willing to share knowledge and debug with teammates.

Responsibilities

• Join the full-stack W&B History team to build the core visualization engine for experiment tracking.
• Design and develop highly performant, interactive visualization tools for real-time metrics.
• Scale charting components to handle millions of data points while maintaining interactivity.
• Implement new features enabling researchers to explore data and build better models.
• Collaborate with product designers and back-end engineers to optimize data streaming for charts.

Skills

JavaScript/TypeScript

React

Visualization libraries

Front-end performance

Collaboration

Curiosity

Tools

React-vis

uPlot

Canvas/WebGL

Job description

CoreWeave is hiring a Front-End Engineer focused on data visualization to advance the W&B History visualization engine. You will optimize line-plot performance, scale chart components to millions of points, and implement new features enabling researchers to explore data and build better models.

Collaboration with designers and back-end engineers is essential to improve data streaming for charts. Proficiency in JavaScript/TypeScript, React, and web visualization libraries is required, with a