Synced from Ashby · Jul 24

Deep Learning Engineer

Dyneti TechnologiesSan MateoPosted Jul 24, 2025
Machine Learning EngineerRemoteMid
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Jul 24
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Job description

About Us

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.

Job Overview

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

  • 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

In the News

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.

View original posting on Ashby

What applying to Dyneti Technologies usually looks like

Based on publicly available information, candidates applying through ashby can generally expect a structured online application involving a resume submission and possibly some initial screening questions. Ashby-based processes typically include an application review, followed by recruiter or hiring manager outreach if there is interest. Candidates may then encounter multiple stages such as phone screens, technical or role-specific assessments, and interviews with team members, though the exact number and format can vary by role, such as those at Dyneti Technologies. Response times vary and are not guaranteed, so candidates should follow up politely if they have not heard back. It is commonly recommended to tailor application materials to the specific role and to prepare for both behavioral and role-relevant technical questions, as this is typical across companies using the ashby platform.

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Deep Learning Engineer
Dyneti Technologies · San Mateo
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