1 year ago
Toronto, CanadaSenior
Base Salary
$170k - $220k/yr
Responsibilities
- Build and optimize data pipelines and backend services for real-time processing of device and behavioral data.
- Develop and deploy machine learning models for fraud detection in production environments.
- Transform raw data into production-ready features for fraud detection systems.
- Collaborate with platform and backend engineers for seamless model integration.
- Maintain high standards of security, privacy, and compliance.
- Champion best practices in testing, documentation, and observability.
Requirements
- 5+ years of software engineering experience with strong backend skills in Go or Python.
- Hands-on experience with applied machine learning using large datasets.
- Strong SQL skills and familiarity with relational and non-relational databases.
- Experience with end-to-end machine learning systems including feature pipelines and model deployment.
- Excellent written and verbal communication skills in English.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Benefits
- Generous compensation in cash and equity.
- Early exercise for all options, including pre-vested.
- Flexible paid time off and year-end break.
- Health insurance, dental, and vision coverage for employees and dependents.
- 4% matching in 401k / RRSP.
- MacBook Pro delivered to your door.
- One-time stipend for home office setup.
- Monthly meal stipend.
- Monthly social meet-up stipend.
- Annual health and wellness stipend.
- Annual learning stipend.
Categories
About Sardine
Sardine builds an integrated fraud and anti–money-laundering platform for banks, fintechs, and online businesses, combining device fingerprinting, behavioral biometrics, session telemetry, and real-time transaction monitoring, with APIs and case management to block attacks and automate reviews. Privately held and founded in 2020, it is headquartered in San Francisco. Publicly named customers include FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com.