Machine Learning Engineer (Fraud Detection)

Location: Remote within the United States or Canada; candidates must maintain a home base in the country of hire.

Salary: US estimated base salary $175K–$220K; Canada estimated base salary CA$210K–CA$265K, plus equity.

Company

Sardine provides an agentic risk platform that unifies data to detect fraud, prevent AI-driven attacks, and automate fraud and AML operations.

What you will do

• Build and own model-serving infrastructure, real-time inference, feature retrieval, and latency performance within a sub-250ms budget.
• Develop deployment tooling that enables data scientists and clients to ship and host models.
• Own production ML systems through monitoring, drift detection, retraining, incident response, and on-call support.
• Build pipelines that transform device and behavioural signals into production-ready features.
• Optimize inference across Python and the Go backend while championing testing, observability, security, and compliance.
• Build models directly when appropriate, with approximately 20% of the role focused on modeling.

Requirements

• Experience building model-serving infrastructure and owning ML systems in production.
• Strong Python and solid software engineering fundamentals, including testing, code review, and CI/CD.
• Experience with Kubernetes, containers, a major cloud platform—primarily GCP—and infrastructure as code.
• Ability to distinguish data, feature-pipeline, and model issues when diagnosing performance degradation.
• Experience building self-service tooling for engineers or data scientists and deciding which capabilities should be self-serve.

Nice to have

• Domain knowledge in fraud, risk, or cybersecurity.
• Experience with Docker, Kubernetes, CI/CD, and modern DevOps practices.
• Understanding of modern browser APIs and high-entropy data collection techniques.
• Experience using frontier LLMs for automation.

Culture & Benefits

• Remote-first work with flexible scheduling and no regular office attendance.
• Flexible paid time off and a year-end break.
• Health, dental, and vision coverage for employees and dependents.
• US and Canada-specific 4% 401(k) or RRSP matching.
• Home-office equipment, setup stipend, meal and social-meetup stipends, and annual health, wellness, and learning stipends.
• Cash compensation and equity, including early exercise for all options.