> Markdown version of [/jobs/ext/1801475-senior-software-engineer-ml-model-training-ui-weights-biases](https://www.wearedevelopers.com/jobs/ext/1801475-senior-software-engineer-ml-model-training-ui-weights-biases). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Senior Software Engineer, ML Model Training UI - Weights & Biases

- **Company:** Weights & Biases
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $182,000.0 - $242,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Big Data, Data Visualization, Software Debugging, Machine Learning, Data Streaming, TypeScript, WebGL, ReactJS, Machine Learning Operations
- **Published:** July 17, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u69qym1t

## About the Role

* Technical Proficiency: Extensive experience with modern JavaScript/TypeScript and React.
 * Visualization Expertise: Knowledge of web-based visualization libraries.
 * Performance Engineering: Demonstrated ability to measure and optimize front-end performance, specifically for rendering large datasets and maintaining 60fps interactions.
 * Curious: Work isn't about moving tickets across a board, it's about building deep knowledge of technical systems to improve how they function.
 * Collaborative: 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.

Preferred

 * 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.

## Description

* 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.


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