About Your Role:
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 on mobile space.
We're Looking for Someone Who:
* Enjoys significant ownership over user-facing product
* Can work independently
* Is comfortable turning research papers into product
* Has 2+ years experience with deep learning or has a PhD in a STEM field
* Builds with a product-first approach. You ship code quickly and care about the real world impact of your code.
* Python expertise strongly preferred - however, candidates with deep learning experience in a different language will be considered
* Familiarity with Tensorflow preferred
About Dyneti:
Dyneti is reinventing the onboarding process so that transactions on the
internet can be more seamless and more safe. Our first product, DyScan, is an
SDK that helps apps stop fraud and boost conversion by taking a photo of a
credit card. We launched our product at the end of January 2019, and since
then have grown rapidly to support enterprise customers globally. The card
scanner is powered by a deep learning model optimized to run entirely on
device.
Dyneti was founded by a fraud prevention expert from Uber, and has raised
funding from an exceptional lineup of investors, including Y Combinator. Our
customers include Fortune 100 companies and some of the fastest growing tech
unicorns around the world.
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.
Dyneti Technologies focuses on Mobile, Mobile Commerce, Fraud Detection, and
Deep Learning. Their company has offices in San Francisco and Remote. They
have a small team that's between 1-10 employees.
You can view their website at <http://dyneti.com>
