Job Overview
Job description
- Location:
- San Mateo, United States
- Work arrangement:
- On-site
Role Summary
Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with the CEO to build new features and roll out new products - all in the deep learning space.
We’re Looking for Someone Who
- Holds yourself and others to a high bar when working with production systems
- Can work independently
- Is comfortable in a variety of engineering settings, from frontend UX changes to database design to quick-and-dirty Python scripts
- Likes to ship code and test user-facing changes
- Interest in deep learning preferred
In the News
- https: //techcrunch.com/2019/03/19/best-of-y-combinator/
- https: //www.builtinsf.com/2020/1/21/50-san-francisco-startups-watch-2020
- https: //www.bizjournals.com/sanfrancisco/news/2021/07/23/0723-wwl-youngguns.html
Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
About the Company
At Dyneti, we believe digital payments should be seamless and secure. That’s why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card.
Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We’ve processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns.
- Role:
- Software Engineer
- Job Type:
- FullTime
Company profile

dyneti
dyneti.comDyneti builds DyScan, a credit card scanning SDK for mobile apps on Android and iOS that verifies cards in milliseconds and, according to the company, reduces fraud by over 50%. The SDK has a small binary size, is PCI compliant and integrates directly into existing payment flows. Dyneti draws on expertise in customer experience, fraud prevention and computer vision, and is backed by investors including Y Combinator and Shasta Ventures.
- Key Investors
- Y Combinator, Shasta Ventures, Sound Ventures