Senior Machine Learning Engineer, ML (ML Fraud)
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Affirm’s Machine Learning team solves problems critical to our business model - personalizing shopping experiences, detecting fraud, optimizing interest rates, and assessing creditworthiness in real time.
Our innovative products necessitate the creation of novel machine learning solutions to drive both existing and new products.
What You'll Do
Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of fraud.
These models will protect victims’ identities from being stolen, prevent Affirm from incurring financial loss, and increase the trust that consumers and partners have in the Affirm ecosystem
- Partner with the ML platform team to build fraud specific ML infrastructure
- Research ground breaking solutions and develop prototypes that drive the future of fraud decisioning at Affirm
- Implement and scale data pipelines, new features, and algorithms that are essential to our production models
- Collaborate with the engineering, fraud, and product teams to define requirements for new products
- Develop fraud models to maximize user conversion while minimizing fraud losses and data costs
What We Look For
- Bachelors in a technical field with 5+ years experience building and deploying ML models. Relevant PhD can count for up to 2 YOE
- Proficiency in machine learning with experience in areas such as gradient boosting, online learning, and deep learning.
Domain knowledge in fraud risk is a plus
- Strong programming skills in Python
- Experience using large scale distributed systems like Spark and Ray
- Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
- The ability to present technical concepts and results in an audience-appropriate way
- Persistence, patience and a strong sense of responsibility we build the decision making that enables consumers and partners to place their trust in Affirm!
Pay Grade - CAN30
Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.
CAN base pay range per year :
Min : $123,200
Mid : $154,000
Max : $184,800
Location - Remote CAN
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