Machine Learning Engineer at Sardine

Company: Sardine

Location: United States

Type: FULL_TIME

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Job Description

<p style="min-height:1.5em"><strong>Who we are:</strong></p><p style="min-height:1.5em">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 <a target="_blank" rel="noopener noreferrer nofollow" href="http://Checkout.com"><u>Checkout.com</u></a> rely on Sardine to secure and grow trust in their products.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Our culture:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere</p></li><li><p style="min-height:1.5em">We hire talented, self-motivated individuals with extreme ownership and high growth orientation. </p></li><li><p style="min-height:1.5em">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.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Location:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Remote - United States or Canada </p></li><li><p style="min-height:1.5em">From Home / Beach / Mountain / Cafe / Anywhere!</p></li><li><p style="min-height:1.5em">We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>About The Role</strong></p><p style="min-height:1.5em">As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale.</p><p style="min-height:1.5em">This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What you’ll be doing:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and optimize data pipelines and backend services to process device and behavioral data in real time.</p></li><li><p style="min-height:1.5em">Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.</p></li><li><p style="min-height:1.5em">Turn raw data into production-ready

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