Manager, Machine Learning Engineering (Fraud)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Manager, Machine Learning Engineering (ML/Fintech): Leading a team of ML engineers to build and improve models that detect and prevent fraud with an accent on the full machine learning lifecycle from experimentation to production deployment. Focus on adopting representation learning and transformer-based techniques to capture complex behavioral patterns in an adversarial environment.
Location: Remote (Must be based in Canada)
Salary: $181,000 - $241,000 CAD
Company
Affirm is a fintech company reinventing credit to provide honest and transparent "buy now, pay later" services for consumers.
What you will do
- Set the technical and modeling strategy for fraud detection to reduce fraud loss and improve approval rates.
- Lead a team of ML engineers through the full lifecycle, from experimentation and feature development to production monitoring.
- Drive the adoption of advanced modeling approaches, including representation learning and transformer-based methods.
- Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to integrate models into decisioning systems.
- Coach and develop engineering talent, fostering a high-performing culture of technical excellence.
Requirements
- Bachelor's degree in a technical field with 8+ years of industry experience.
- 3+ years of experience managing engineers.
- Experience with modern ML (deep learning, transformers, representation learning) and traditional methods like gradient-boosted trees.
- Proven track record of delivering end-to-end ML solutions in production environments.
- Strong engineering fundamentals and experience with scalable systems and data pipelines.
- Must be based in Canada.
Culture & Benefits
- Remote-first work environment allowing flexibility within the country of employment.
- 100% subsidized medical, dental, and vision coverage for employees and their dependents.
- Flexible spending wallets for technology, food, and various lifestyle needs.
- Competitive vacation and holiday schedules.
- Employee Stock Purchase Plan (ESPP) allowing discounted share purchases.
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