Senior Machine Learning Engineer, Affirm

• 6+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOE
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field
• Experience developing machine learning models at scale from inception to business impact
• Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus
• Strong engineering skills in Python and data manipulation skills like SQL
• Experience using large scale distributed systems like Spark or Ray
• Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, Kubeflow
• Experience with Kubernetes, Docker, and Airflow is a plus
• Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
• Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm

• Join the Affirm team as a Senior Machine Learning Engineer and contribute to the success of our Machine Learning Underwriting team
• We are the driving force behind Affirm's core value proposition, leveraging cutting-edge machine learning to assess risk and make decisions throughout the life cycle of loan applications
• As a Senior Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our real-time decision-making processes
• Your contributions will be instrumental in shaping our financial landscape
• If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!
• Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
• Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
• Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
• Implement and scale 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

• Spending wallets
• Supportive communities
• Remote-first workforce
• Generous time off
• Health benefits
• Mental healthcare
• Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
• We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
• We offer 24 company-wide paid days off—which help our teams collectively pause to recharge
• Learning & development

Total funding: $1.1bn

Affirm offers point-of-sale loans to consumers, working with merchants like Shopify, KAYAK, and Walmart. Buy now, pay later transactions have grown in popularity in recent years, and this business is tapping into the market with a totally different approach to credit - by delivering the Affirm card, the first US debit card with the option to pay-over-time.