Home › Companies › Extend › Founding ML Engineer
Founding ML Engineer
Extend · New York City · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Extend |
| Title | Founding ML Engineer |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | New York City, NY, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Extend. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York City. | Open |
| Department jobs | Active postings in Engineering. | 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 | Extend |
| Source | ad4f40cc-93c2-41d8-9bb9-66c0981b07a5 |
| ATS provider | Ashby |
Description
Extend is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data.
As a Machine Learning Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure. The work you do will impact every single customer across the millions of documents that our system ingests and processes every month.
We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems with AI.
Why you should consider joining We've grown revenue 400% last year to several million ARR, with our growth continuing to accelerate
We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more
The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS
We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact
We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join.
You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership
We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces
You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly
We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap.
Role Training and deploying SOTA vision models for document processing
Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to
Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues
Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
Work directly with the CEO, CTO, and other founding members and help build out our team.
Benefits Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to craft a package designed for you:
Insurance - 90% health insurance premium coverage
Relocation - for candidates based outside of NYC
Unlimited PTO policy - we trust everyone like owners, take what you need
Daily lunch & snacks covered (plus dinner if you're in the office late) - you'll never go hungry and you help pick the snacks
Unlimited token / tooling access - no handicaps on your productivity
Learning and development investment - we invest heavily in our team and support your growth
Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Full job record
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| Org ID | dc76c702-d35f-46f0-b8d1-04dee1d2cb7d |
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| Board ID | ad4f40cc-93c2-41d8-9bb9-66c0981b07a5 |
| Provider | ashby |
| Provider Job Key | f66b7066-93dc-4b46-ad0f-3ea842e70fe8 |
| Title | Founding ML Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York City |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York City |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/extend/f66b7066-93dc-4b46-ad0f-3ea842e70fe8 |
| Apply URL | https://jobs.ashbyhq.com/extend/f66b7066-93dc-4b46-ad0f-3ea842e70fe8/application |
| First Seen At | 2026-05-29 06:38:41Z |
| Last Seen At | 2026-06-06 09:27:17Z |
| Last Checked At | 2026-06-06 09:27:17Z |
| Last Changed At | 2026-06-06 09:27:17Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=extend/date=2026-06-06/2026-06-06T09-27-08-450Z-d21666ca8adfe44ce7c8a00781b13cd1b985f2a4251d579b3ecff0023cca2c7b.json |
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