Full-Time

Deep Learning Engineer

Dyneti

Dyneti

1-10 employees

SDK-based mobile payment fraud prevention

No salary listed

San Mateo, CA, USA

Hybrid

Category
AI & Machine Learning (1)
Required Skills
Kubernetes
Python
Tensorflow
Neural Networks
CUDA
Git
Pytorch
Machine Learning
Docker
Linux/Unix
Requirements
  • 2+ years experience with deep learning or a PhD in a STEM field
  • Ability to work independently
  • Willingness to own and ship user-facing product
  • Comfort turning research papers into product
  • Product-first mindset with focus on real-world impact of code
Responsibilities
  • Join the founding engineering team and work closely with the CEO to build new features and roll out new products in the deep learning space
  • Own significant portions of the user-facing product and drive its development from concept to deployment
  • Translate research papers and ideas into practical, production-ready features and capabilities
  • Ship code quickly while maintaining focus on tangible, real-world impact
Desired Qualifications
  • Python expertise strongly preferred (candidates with deep learning experience in a different language will be considered)
  • Familiarity with TensorFlow preferred

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 Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • PSD3 regulation in January 2026 mandates stronger authentication, driving DyScan demand.
  • Chargeback rates surged 28% in Q1 2026, positioning DyScan's 50% reduction as key.
  • Apple iOS 19.4 in February 2026 enhances camera APIs for faster DyScan integration.

What critics are saying

  • Stripe's integrated scanning captures 60% market in 6-12 months, eroding DyScan value.
  • Visa's 2026 NFC mandate bypasses scanning, obsoleting DyScan for Visa in 12-18 months.
  • PayPal's CVV-less biometrics reduce chargebacks 65% in 3-9 months, undercutting DyScan.

What makes Dyneti unique

  • DyScan verifies physical card possession using proprietary AI models trained on millions of scans.
  • Achieves 98% fraud prevention and 95% precision while boosting conversions 4-21%.
  • PCI DSS Level 1 compliant with seamless integration into major payment processors.

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Benefits

Remote Work Options

Flexible Work Hours

Wellness Program

Mental Health Support

Stock Options

Company Equity

Conference Attendance Budget

Professional Development Budget

Health Insurance

401(k) Retirement Plan

Paid Vacation

Paid Holidays

Parental Leave