Machine Learning Engineer
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Job Description
Machine Learning Engineer designing systems for real-time fraud detection. Leveraging applied ML and large-scale systems engineering in a remote-first culture.
Responsibilities:
- Build and optimize data pipelines and backend services to process device and behavioral data in real time.
- Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
- Turn raw data into production-ready features that feed our fraud detection systems.
- Collaborate with platform and backend engineers to integrate models seamlessly.
- Maintain high standards of security, privacy, and compliance.
- Champion best practices in testing, documentation, and observability.
Requirements:
- Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.)
- 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 communication skills in English, both written and verbal.
- Bachelor's or Master's in Computer Science, Engineering, or a related discipline.
- Bonus Points
- Domain knowledge in fraud, risk, or cybersecurity.
- Background in Software Engineering
- Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.
- Understanding of modern browser APIs and high-entropy data collection techniques.
- Familiarity with leveraging frontier LLMs for automation.
Benefits:
- Generous compensation in cash and equity
- Early exercise for all options, including pre-vested
- Work from anywhere: Remote-first Culture
- Flexible paid time off and Year-end break
- Health insurance, dental, and vision coverage for employees and dependents - *US and Canada specific*
- 4% matching in 401k / RRSP - *US and Canada specific*
- MacBook Pro delivered to your door
- One-time stipend to set up a home office — desk, chair, screen, etc.
- Monthly meal stipend
- Monthly social meet-up stipend
- Annual health and wellness stipend
- Annual Learning stipend
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