10 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.