The top agentic risk platform used by leading banks and merchants worldwide to stop fraud in real-time, prevent AI-driven attacks, automate fraud & AML operations. Backed by a16z and GV.
About the role
Sardine sits on one of the richest behavioral datasets in fraud and risk: device intelligence, behavior biometrics, session telemetry, payment events, and consortium signals that we leverage to fight fraud across hundreds of fintechs and banks. We are looking for an applied research scientist that brings their expertise in deep learning and foundation models to take this to the next level.
What they're looking for
- 4+ years in applied machine learning, quantitative modeling, or ML engineering including at least one foundation model you pre trained or substantially adapted and put in front of real traffic
- Hands-on self-supervised pre training experience, plus practical fine-tuning and adaptation
- Production experience with model serving, versioning, monitoring, and rollback
- Ability to self-manage and drive ambiguous applied research projects with clear communication with partner teams across data science, engineering, product, marketing and external partners
- Strong Python, strong SQL, and comfort preparing very large datasets
More about this role
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
Remote -United States or Canada
From Home / Beach / Mountain / Cafe / Anywhere!
We are a remote-first company with a globally distributed...
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