Home › Companies › Hume AI › Front-End Engineer
Front-End Engineer
Hume AI · NYC, San Jose, or Remote · Remote · Deleted · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Hume AI |
| Title | Front-End Engineer |
| Normalized title | - |
| Department / team | Full-time |
| Location | New York, NY, United States |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | - |
| Status | deleted |
| ATS provider | Greenhouse |
| Posted / first seen | 2025-10-08 / 2026-05-29 |
| Changed / last seen | 2026-06-04 / 2026-06-02 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hume AI. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Full-time. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hume AI |
| Source | a852db4c-066d-4faf-b7ed-2ad0709874ca |
| ATS provider | Greenhouse |
Description
We are seeking an experienced and motivated front-end engineer to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City, or wherever you are located, and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. We’re gearing up to launch the next generation of Octave and EVI, our foundational speech-language models for voice generation and powering real-time empathic AI assistants for any application.
Our models understand and generate subtle tones of voice, word emphasis, and more and the reactions of users. They are rated higher than models by OpenAI and others on empathy, expressiveness, naturalness, and speed, instantly speak with 100K+ unique voices and styles, stream language, emotion, and reasoning – all at once, and are fast enough to feel truly conversational ( hume.ai .
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature , and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI ( www.thehumeinitiative.org ). You can learn more about us on our website ( https://hume.ai/ ) and read about us in WIRED , Forbes , and Venturebeat .
About the Role
As a Front-End Engineer, you will work closely with our team of research scientists, machine learning engineers, and designers to build our developer platform and commercial applications, making our powerful AI solutions accessible to users with varying degrees of technical sophistication through cutting edge no-code tools.
Responsibilities
Contribute new features to our frontend tools while maintaining high standards of excellence.
Work autonomously to maintain and identify areas of improvement for existing code and tests.
Identify areas for improvement within existing codebase that reduces code complexity and improves overall performance of web applications.
Build internal tools to help facilitate prototyping, maintenance, and quality of codebase.
Collaborate closely with our design, product, backend, and research teams.
Requirements
3-7 years of experience in developing frontend web applications.
Proficiency with a modern frontend stack (TypeScript, React, Next, Tailwind, etc).
Expertise in modern frontend best practices, including accessibility, semantic markup, Core Web Vitals, and optimization.
Proficiency with tools like debuggers, profilers, and flamegraphs to identify areas of improvement for performance
Proficiency with tools for automated testing and CI/CD (such as Jest, Playwright, Axe, Wave, GitHub Actions, Dev Containers).
Excellent communication and collaboration skills.
Bonus
Familiarity with modern animation and data visualization libraries.
Application Note
Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.
Annual Salary $130,000 — $230,000 USD
Full job record
| Job ID | 6611ef774738eb71aa9a27b9fd0985220d502c43 |
| Org ID | 214d0f4b-163d-459e-b79e-30de4a1c5e3e |
| Source ID | a852db4c-066d-4faf-b7ed-2ad0709874ca |
| Board ID | a852db4c-066d-4faf-b7ed-2ad0709874ca |
| Provider | greenhouse |
| Provider Job Key | 4948192008 |
| Title | Front-End Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | NYC, San Jose, or Remote |
| Department | Full-time |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/humeai/jobs/4948192008 |
| Apply URL | https://job-boards.greenhouse.io/humeai/jobs/4948192008 |
| First Seen At | 2026-05-29 22:42:19Z |
| Last Seen At | 2026-06-02 12:11:21Z |
| Last Checked At | 2026-06-04 11:16:25Z |
| Last Changed At | 2026-06-04 11:16:25Z |
| Inactive At | 2026-06-04 11:16:25Z |
| Source Posted At | 2025-10-08 19:22:57Z |
| Source Updated At | 2026-01-09 15:17:30Z |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=humeai/date=2026-06-02/2026-06-02T12-11-21-102Z-d897d8847ec4621442c3a9e5bcb37ae7f71f60d4b668f4367d23558ea3929407.json |
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