Machine Learning Engineer
AI risk platform that helps financial institutions prevent fraud, ensure compliance, and detect money laundering through behavioral analysis and device intelligence.
Maintainer signals as of 9/23/2026
Funding history
Projects
About Sardine
Sardine helps financial institutions prevent fraud and ensure compliance by analyzing user behavior and device intelligence in real-time. Users can detect identity theft, payment fraud, account takeovers, and money laundering while streamlining KYC/AML processes. Sardine provides risk management with AI agents, case management, and regulatory reporting tools.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design and implement machine learning models, data pipelines, and backend systems that power fraud detection in production. The role combines applied ML with large-scale systems engineering to deliver reliable, efficient, end-to-end solutions.
Requirements
- Hands-on experience with applied ML using large datasets, including PyTorch or Scikit-learn.
- 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 written and verbal English communication skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
Responsibilities
- Build and optimize real-time data pipelines and backend services for device and behavioral data.
- Develop and deploy reliable, efficient ML models for fraud detection in production.
- Create production-ready features from raw data for fraud detection systems.
- Collaborate with platform and backend engineers to integrate models.
- Maintain security, privacy, and compliance standards.
- Champion testing, documentation, and observability best practices.
Benefits
- Generous cash compensation and equity.
- Early exercise for all options, including pre-vested options.
- Remote-first work culture.
- Flexible paid time off and year-end break.
- Health, dental, and vision insurance for employees and dependents in the US and Canada.
- 4% 401k or RRSP matching in the US and Canada.
- MacBook Pro delivered to your door.
- One-time home-office setup stipend.
- Monthly meal and social meet-up stipends.
- Annual health, wellness, and learning stipends.