12 months ago
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 is the leading agentic risk platform to fight financial crime. Our integrated suite of fraud and AML solutions unifies data across risk teams to detect fraud in real-time and streamline AML operations. Companies including FIS, GoDaddy, Deel, Checkout, and Brex rely on Sardine to secure and grow trust in their products. Learn more at sardine.ai.