Enroll For Senior Machine Learning Engineer at Affirm, Calgary, AB

Location: Calgary, AB

Type: Remote Full-time

Company Overview:
Affirm is committed to reinventing credit, making it more transparent and consumer-friendly. They offer consumers the flexibility to buy now and pay later without hidden fees or compounding interest. With a focus on honesty and trust, Affirm aims to personalize shopping experiences, detect fraud, optimize interest rates, and assess creditworthiness in real-time.

Job Description:
Affirm is seeking a Senior Machine Learning Engineer (ML Fraud) to join their team remotely. In this role, the individual will utilize Affirm’s proprietary and third-party data to develop machine learning models predicting the likelihood of fraud. These models play a crucial role in protecting identities, preventing financial loss, and fostering trust within the Affirm ecosystem. The engineer will collaborate with cross-functional teams to research innovative solutions, build fraud-specific ML infrastructure, and implement scalable data pipelines and algorithms.

Responsibilities:

• Develop machine learning models to predict fraud likelihood, utilizing Affirm’s proprietary and third-party data.
• Collaborate with the ML platform team to build fraud-specific ML infrastructure.
• Research and prototype groundbreaking solutions for fraud decisioning.
• Implement and scale data pipelines, features, and algorithms essential to production models.
• Define requirements for new products in collaboration with engineering, fraud, and product teams.
• Maximize user conversion while minimizing fraud losses and data costs through the development of fraud models.

Qualifications:

• Bachelor’s degree in a technical field with 6+ years of experience in building and deploying ML models (relevant PhD can count for up to 2 years of experience).
• Proficiency in machine learning, including gradient boosting, online learning, and deep learning.
• Strong programming skills in Python.
• Experience with large-scale distributed systems like Spark and Ray.
• Familiarity with machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch.
• Excellent written and oral communication skills, with the ability to drive cross-functional requirements.
• Persistence, patience, and a strong sense of responsibility.

Pay Grade: CAN30

Location: Remote CAN

Benefits:

• Comprehensive health care coverage for employees and dependents.
• Flexible spending wallets for technology, food, lifestyle needs, and family expenses.
• Competitive vacation and holiday schedules.
• Employee stock purchase plan (ESPP) enabling the purchase of shares at a discount.

Inclusivity Statement:
Affirm is committed to providing an inclusive interview experience for all candidates, including those with disabilities. Reasonable accommodations are available upon request during the hiring process.

Notice:
Affirm considers qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance.

Privacy Policy Acknowledgement:
By submitting an application, candidates acknowledge and consent to the collection, processing, use, and storage of personal information as described in Affirm’s Employment Privacy Policy.