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Title: Deep Learning Engineer


The internet has fundamentally transformed the way we live. It’s allowed us to chat with our loved ones over video across the globe, stay at a stranger's house when we travel, and find love with people we’d otherwise never meet. However, security hasn’t quite kept pace with growth, so we’re seeing a dark side emerge as well - Facebook was used to promote fake news; Uber has been exploited to commit violent crimes; Coinbase wallets have been robbed. Dyneti’s mission is to make the internet more secure.

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 team of deep learning and fraud prevention experts from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator (TechCrunch). Our customers include some of the fastest growing tech unicorns around the world.

About Your Role

Join Dyneti as part of the founding engineering team. You will have the opportunity to work closely with CTO Lena Evans to build new features and roll out new products… all in the deep learning on mobile space. Formerly, Lena shipped the first deep learning model in a production Uber app, so this is a world-class opportunity for someone looking to get into the 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

To apply, drop us a note and resume at jobs@dyneti.com

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.