Deep Learning Engineer
- San Francisco, CA, United States
- $100k - $150k
- 0.5% - 1.5%
- iOS Development
About Your Role:
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.
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
Dyneti is an early stage YC-startup (TechCrunch Top 10: techcrunch.com/2019/03/19/best-of-y-combinator) looking to make frictionless, fraud-free payments available on every mobile device. Our first product is an SDK that helps apps stop fraud and boost conversion by taking a photo of a credit card. The SDK is powered by bleeding edge technology (deep learning on the edge). If you’re a scrappy engineer interested in being a critical part of one of the first startups working in the deep learning on mobile space, we’d love to talk to you!
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.
About Dyneti Technologies, Inc.
DyScan, our first product, makes frictionless, fraud-free payments available on every mobile device. 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 fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. Our customers include some of the fastest-growing tech unicorns around the world.
Delight our customers: We build products and features that solve real problems, and delight in helping our customers.
Take the leap: We’re decisive when faced with ambiguity, and we celebrate smart risk-taking and a bias to action—even if it doesn’t always result in success.
Be humble: Startup environments are ambiguous. We act on limited information quickly, but we also know we’re not infallible. We constantly evaluate our hypotheses against market feedback, and adjust our actions accordingly.
Embrace the impossible: Building a successful startup requires doing things that seem impossible. We don’t shrink from the challenge, we rise to the occasion.
- iOS Development
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