Applied AI/ML Engineer
Company websiteextend.ai (Extend, opens in new tab)
Base salary $200K to $350K
Employer-published annual base salary, USD. Advertised base range in New York City, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York City, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (14 min ago) · observed since
About this job
Extend is building a modern document processing platform, reimagined with LLMs. We're on a mission to transform how the world works with unstructured data.
As an AI Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure and applied AI product features. 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 4x 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.
Impact
We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).
Here's a few of the complex problems you’ll be working on:
Building a QA Agent to flag low confidence results
Deploy an optimizer agent in a loop that improves document performance in the background
Creating multimodal models for document layout awareness
Novel chunking strategies for handling long documents
Building data pipelines and evaluating model performance
Building a self-correcting system that automatically gets better over time
Role
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.
Source: Extend on Ashby · View original posting (opens in new tab)
This listingApplied AI/ML Engineer$200K to $350K
Machine Learning Researcher$200K to $350K
Forward Deployed Engineer$175K to $250K
Founding GTM Ops Lead$175K to $200K
Staff Software Engineer$250K to $300K
Start-up / Field Marketing Lead$140K to $200K
Chart as a table
| Role | Published base |
|---|---|
| Applied AI/ML Engineer (this listing) | $200K - $350K |
| Machine Learning Researcher | $200K - $350K |
| Forward Deployed Engineer | $175K - $250K |
| Founding GTM Ops Lead | $175K - $200K |
| Staff Software Engineer | $250K - $300K |
| Start-up / Field Marketing Lead | $140K - $200K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2024-12-15
Where this pay comes from
Location as the employer wrote it: New York City
USD 200,000 – 350,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
