Remote Staff Machine Learning Engineer

Summary

Join Affirm's ML Underwriting team as a Staff Machine Learning Engineer and contribute to developing high-quality machine learning models that assess creditworthiness. As a key member of the team, you will be at the forefront of shaping our financial landscape.

Requirements

• 8+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOE
• 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
• 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

Responsibilities

• 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

Benefits

• 100% subsidized medical coverage, dental and vision for you and your dependents
• Monthly stipends for health, wellness and tech spending
• Competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• An employee stock purchase plan enabling you to buy shares of Affirm at a discount