Job Opportunities API

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 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. Location: - Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania - From Home / Beach / Mountain / Cafe / Anywhere! - We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.   About The Role 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. 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.   What you’ll be doing: - Build and optimize data pipelines and backend services to process device and behavioral data in real time. - Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. - Turn raw data into production-ready features that feed our fraud detection systems. - Collaborate with platform and backend engineers to integrate models seamlessly. - Maintain high standards of security, privacy, and compliance. - Champion best practices in testing, documentation, and observability. What you’ll need: - Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). - Strong SQL skills and familiarity with relational and non-relational databases. - Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. - Excellent communication skills in English, both written and verbal. - Bachelor's or Master's in Computer Science, Engineering, or a related discipline. Bonus Points - Domain knowledge in fraud, risk, or cybersecurity. - Background in Software Engineering - Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. - Understanding of modern browser APIs and high-entropy data collection techniques. - Familiarity with leveraging frontier LLMs for automation. Benefits we offer: - Generous compensation in cash and equity - Early exercise for all options, including pre-vested - Work from anywhere: Remote-first Culture - Flexible paid time off and Year-end break - Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific - 4% matching in 401k / RRSP - US and Canada specific - MacBook Pro delivered to your door - One-time stipend to set up a home office — desk, chair, screen, etc. - Monthly meal stipend - Monthly social meet-up stipend - Annual health and wellness stipend - Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how w