Senior JavaScript Engineer

Hyperparam; Seattle (WA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Ground-floor startup environment

Job summary

Hyperparam is building a new kind of frontend application to visualize and manage massive ML datasets. You will join a seed-stage startup on a hybrid in-person basis in Seattle, working closely with a small engineering team to craft a high‑performance data-driven UI.

You will implement interactive features, real-time filtering, and advanced visualizations using D3/Vega, while leveraging web workers to keep the UI responsive and scalable.

Qualifications

• Experience building complex and high‑performance React.js applications.
• Strong data visualization skills with D3/Vega or similar libraries.
• Solid understanding of modern JavaScript/Frontend tooling and performance optimization.

Responsibilities

• Develop and maintain a highly interactive web app for visualizing large ML datasets.
• Implement efficient client-side data structures for real-time filtering and aggregation of big datasets.
• Create advanced visualizations using D3/Vega and related libraries.
• Leverage web workers and multithreading to enhance responsiveness.
• Collaborate with ML engineers and data scientists to integrate ML features.
• Contribute to scalable, maintainable architecture decisions.
• Profile and optimize complex web applications for speed and memory use.
• Build performant React components and reusable UI patterns.

Skills

React.js

Data visualization

JavaScript/Frontend

Performance optimization

Web workers/multithreading

Tools

D3

Vega

Redux

WebGL

Job description

Hyperparam is building a new kind of frontend application for working with massive LLM datasets.

About Hyperparam

Description

Hyperparam is building a new kind of frontend application for working with massive LLM datasets.

You can see examples of our open-source work here:

This opportunity is hybrid in-person in Seattle at a seed-stage startup. You would be one of the very first employees, working side-by-side with an experienced team building a new kind of dataset curation tool. This will require intense work ethic, dedication, creativity, and independence that is necessary at an early stage startup. For the right candidate, this is a unique opportunity to build a company from the earliest idea stages to building a product used by real customers.

Responsibilities:

• Develop and maintain a highly interactive web application for visualizing and manipulating large-scale ML datasets.
• Implementing efficient client-side data structures for real-time filtering and aggregation of millions of records
• Implement advanced data visualizations using d3, vega, or similar libraries.
• Leverage web workers and other multithreading techniques to enhance application responsiveness.
• Collaborate closely with machine learning engineers and data scientists to integrate machine learning functionalities.
• Contribute to architectural decisions to improve scalability and maintainability.
• Experience profiling and optimizing complex web applications
• Experience building complex and performant React.js apps and components.
• Proficiency in data visualization libraries: d3, vega, etc.

Additional Skills:

• Familiarity with machine learning concepts and handling large datasets.
• Excellent problem-solving abilities and attention to detail.
• Ability to operate independently in a small startup environment.
• Passion for staying current with emerging technologies and best practices.

What We Offer:

• Get in on the ground level of a funded seed start startup.
• Work side-by-side with experienced entrepreneurs who care deeply about advancing AI.
• A collaborative and close-knit work environment with a small team of highly motivated engineers, located in-person in Seattle.
• Competitive salary, equity, and comprehensive benefits package.
• Opportunity to work on groundbreaking projects in the ML and data visualization space.
• A collaborative and close-knit work environment with a small team of highly motivated engineers.