Note: The job is a remote job and is open to candidates in USA. Sardine is a leader in fraud prevention and AML compliance, using advanced technologies to combat fraud. The Machine Learning Engineer will design systems for fraud detection, focusing on building and optimizing data pipelines and developing ML models to ensure their efficiency and reliability.

Responsibilities

• 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

Skills

• 5+ years in software engineering, with strong backend experience (Go or Python)
• 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
• Domain knowledge in fraud, risk, or cybersecurity
• 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

• Offers 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

Company Overview

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