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.

Roll

Machine Learning Researcher

Plats

New York City

Publicerad

21 juli

Sista ansökningsdag

16 augusti

Taggar för det här jobbet

AI Machine Learning Go Rust

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