Build and operate reliable, low-latency services that detect and prevent fraud and abuse at scale.

Partner with ML engineers and data scientists to bring recent signals, models, and AI capabilities into production.

Own projects from technical design and implementation through rollout, measurement, and iteration.

Maintain high standards for engineering quality, reliability, and product craft.

At least 2 years of industry software engineering experience.

Solid coding skills in any programming language and experience building and maintaining production software.

Ability to work across systems and technologies, learn unfamiliar codebases, and make thoughtful technical trade-offs.

Rigorous problem-solving approach, including using data to investigate issues and evaluate solutions.

Preferred: experience building APIs, developer platforms, or intuitive interfaces for complex workflows.

Preferred: experience bringing ML or AI capabilities into production software.

Preferred: experience in fraud prevention, abuse prevention, risk, or security.

Preferred: experience taking products from early concept to launch and iterating directly with customers.

📌 Backend engineer /Machine learning (Toronto)
🏢 Stripe
📍 Toronto