Senior ML UI Engineer - 60fps, Large-Scale Data Viz

Weights & Biases; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Company-paid Life Insurance

Voluntary Supplemental Life Insurance

Short-term Disability Insurance

Long-term Disability Insurance

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Employee Stock Purchase Program (ESPP)

Mental Wellness Benefits

Family-Forming Support

Paid Parental Leave

Childcare Support

401(k) with Employer Match

Flexible PTO

Catered Lunch

Job summary

Weights & Biases is seeking a frontend-focused engineer to optimize line plot architecture and performance within our UI, capable of handling millions of data points. You will collaborate with designers and back-end engineers to improve data streaming and user experiences for AI researchers.

The role emphasizes expert JavaScript/TypeScript, React, and data-visualization libraries to sustain 60fps rendering and scalable visuals across large datasets.

Qualifications

• Requires extensive experience with modern JavaScript, TypeScript, and React, along with expertise in web-based visualization libraries.
• Candidates should have a demonstrated ability to optimize front-end rendering for large datasets to maintain 60fps interactions.

Responsibilities

• Focus on the architecture and performance of line plots within the W&B UI to handle millions of data points.
• Collaborate with designers and back-end engineers to optimize data streaming and refine user experiences for AI researchers.

Skills

JavaScript

TypeScript

React

Data Visualization

Front-end Performance

Canvas

WebGL

React Vis

uPlot

Data Streaming

Software Architecture

Machine Learning Workflows

Tools

WebGL

React Vis

uPlot

Job description

Weights & Biases is seeking a frontend-focused engineer to optimize line plot architecture and performance within our UI, capable of handling millions of data points. You will collaborate with designers and back-end engineers to improve data streaming and user experiences for AI researchers.

The role emphasizes expert JavaScript/TypeScript, React, and data-visualization libraries to sustain 60fps rendering and scalable visuals across large datasets.