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 Applied Machine Learning team solves problems critical to our business model - personalizing shopping experiences, detecting fraud, 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 data to develop machine learning models that optimize decision making in fraud and underwriting
- Build models that create a two-sided, recommendations-driven Affirm marketplace
- Research ground breaking solutions and develop prototypes that drive the future of decisioning at Affirm
- Implement data pipelines, new features, and algorithms that are essential to our production models
- Collaborate with the engineering, credit, and product teams to define requirements for new products
- Evaluate new data sources to use in a cost-effective way in our models to add value
What we look for
- PhD with 3+ years industry experience, MS with 5+ years, or BS with 7+ years
- Proficiency in machine learning with experience in areas such as gradient boosting, deep learning, recommendation systems, reinforcement learning, anomaly detection, and Markov decision processes
- Strong programming skills in Python. Experience using frameworks for machine learning and data science like scikit-learn, pandas, numpy, XGBoost, TensorFlow
- Experience with the AWS technical stack and data infrastructure such as Spark, Hive, Hadoop, and EMR
- 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 great sense of responsibility – we build the decisioning that drives Affirm’s business!