Veryfi empowers organizations to transform their unstructured data in the form of receipts, invoices, purchase orders, checks, W2s and other business documents into structured data at scale. Their suite of data transformation APIs can be leveraged for many use cases in financial services to deliver valuable business intelligence in seconds. Trusted by enterprises and technology companies alike, Veryfi’s AI-based platform is being leveraged by companies worldwide.
Veryfi is backed by NewView Capital (NVC), Act One Ventures, TI PLatform, Y Combinator and Zillionize
Veryfi Raises $12 Million To Use AI To Tackle The Unstructured Data Entry Market https://www.forbes.com/sites/rebeccaszkutak/2021/04/26/veryfi-raises-12-million-to-use-ai-to-tackle-the-unstructured-data-entry-market/?sh=886fe19183f8
The Untapped Potential of Unstructured Data https://nvc.vc/perspectives/veryfi-the-untapped-potential-of-unstructured-data/
Capterra Reviews https://www.capterra.com/p/141684/Veryfi-Receipts-and-Expenses/reviews/
COME AND SAY G'DAY!
Veryfi is a profitable, venture-backed software company in the heart of Silicon Valley, with a satellite office in Medellín, Colombia, Ciudad del Rio neighborhood.
Veryfi seeks an entry-level python backend engineer with either a university degree in computer science or who has developed and deployed a full-stack application to the cloud. The application must currently be live, have a url, and actually work. It could be a blog, could be a twitter clone. That’s fine, it just needs to be live, and work without erroring out.
This engineer will work directly with senior machine learning engineers to build applications that measure the accuracy of our machine learning models and create training data to create and improve our machine learning models.
ML experience is not required. However, the role will use ML regularly.
Requirements:
Ideal candidates have:
Pay is be competitive. We’re in the process of researching it. That’s the reason for the wide band.
We get hundreds of applicants; if you’re interested, fill out this Google Form.
(a) Native Mobile apps: Swift, Objective-C & Kotlin
(b) Backend: Python 3, TensorFlow, APIs on Django, Hub/Web on Flask
(c) IaaS: AWS with auto deploys to 4 geographies (read the deployment posts by Andrew here https://medium.com/the-road-to-silicon-valley)
(d) Database: Amazon Aurora
Part 1: Fill out the Google Form.
Why a Google Form? We get hundreds of applicants. Using a form filters people who know they’re not a good fit (can’t code, live in timezone 12 hours different than ours, etc.).
Part 2: Screening interview (30 minutes)
We’ll talk to you and try to figure out if you’ve succeed in previous roles or in academics. Are you formidable? Are you smart and do you get things done?
Part 3: Coding without AI (45 minutes)
You’ll complete an easy and a medium LeetCode problem in 45 minutes, while screen sharing.
Part 4: Coding with AI (45 minutes)
You’ll receive an assignment to clean data while screen sharing. You’re free to use anything you want.
Part 5: Background check and reference check (2-4 days).
We’re a SOC2 audited company, handling customer’s financial documents. Still, we’re able to do this in a few days if your references are accessible.
Part 6: Offer letter.
contractCO / MX / PL / RS / Remote (CO; MX; PL; RS)$20K - $35K3+ years
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fulltimeSan Mateo, California / RemoteFull stack$90K - $130K0.01% - 0.20%3+ years
fulltimeSan Mateo, California / RemoteMachine learning$100K - $160K0.30%11+ years
fulltimeSan Mateo, CA, US / Remote (US)$130K - $150K6+ years
fulltimeSan Mateo, CA, US / Remote (San Francisco, CA, US; New York, NY, US)$120K - $150K6+ years
fulltimeSan Mateo, CaliforniaMachine learning$100K - $160K0.01% - 0.20%11+ years