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Dyneti

SDK-based mobile payment fraud prevention

Deep Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USANo salary listed

About the Job

Requirements

  • At least 2 years of experience with deep learning or a PhD in a STEM field.
  • Ability to work independently.
  • Ability to translate research papers into products.
  • Ability to build user-facing products with a product-first approach and ship code quickly.
  • Deep learning experience in a programming language is required; Python is preferred, but another language may be considered.

Responsibilities

  • Own user-facing product development as part of the founding engineering team.
  • Work closely with the CEO to build new features and roll out new products in the deep learning space.

Desired Qualifications

  • Python expertise is strongly preferred.
  • Familiarity with TensorFlow is preferred.

About the Company

Dyneti

SDK-based mobile payment fraud prevention

Dyneti Technologies creates software to secure mobile payments through its DyScan SDK. The SDK plugs into a client’s mobile checkout flow and lets users scan their credit or debit card with their phone camera; the app auto-fills card details while a check confirms the user physically possesses the card, helping reduce fraud from stolen numbers. It supports many card formats, including non-embossed, vertical, or back-printed numbers, and processes card data on-device to meet PCI compliance. Integration is designed to be quick and lightweight, keeping app performance high. Dyneti targets businesses that process mobile payments (including large enterprises) and aims to lower chargebacks by more than 50% while boosting payment conversion by speeding up the checkout. The company funds at roughly $2.3 million and operates from San Francisco, with YC, Array Ventures, NOMO Ventures, and Shasta Ventures among its backers.

Company size
1-10
Company stage
Seed
Total funding
$130K
Headquarters
San Mateo, CA
Founded
2018

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