Sardine Applied AI

Senior Applied AI Research Scientist

  • Location North America
  • Type FullTime
  • Team Data Science
  • Seniority senior
  • Posted 2026-09-04

Original posting ↗ You apply on the company site — we never collect applications.

Extracted automatically from public job postings. Always verify details on the original posting before applying.

role details

Design and execute experiments to develop and evaluate foundation models for fraud detection using deep learning and rich non-text sequential data.

Summary generated by AI from the original posting.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting

Skills

PythonSQLFineTuningAgentsdeep learningfoundation modelsMLfraud detectionbehavioral datasetsdevice intelligencebehavior biometricssession telemetry

Excerpt from the original posting

Who we are: 
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.

Our culture: 
- 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.

- We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless.

Location: 
- Remote -United States or Canada

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.

We are looking for an experienced ML applied scientist that can combine foundation model expertise with rich non-text sequential data to come up with practical, state-of-the-art fraud detection solutions. You will have an opportunity to scope and drive the next generation of fraud foundation models at Sardine, and drive industry-wide adoption.

What you'll be doing 
- Identify and scope opportunities, design rigorous experiments, and execute on the roadmap for foundation model research and development.

- Own the evaluation bar for foundation model performance: offline benchmarks, time- and entity-aware h…

→ Sardine · Ashby

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  • The title, level and compensation match the original posting.
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