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Deep Learning Engineer

Dyneti Technologies - San Mateo | Hybrid | Remote

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Hybrid From the posting source checked Jun 20, 2026
In-office days
2 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Seed From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Deep Learning Engineer San Mateo | Hybrid | Remote 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 - 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

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