Staff Machine Learning Engineer
November 2
Airflow
Distributed Systems
Docker
Kubernetes
Numpy
Open Source
Pandas
Python
PyTorch
Ray
Scikit-Learn
Spark
SQL
Go
Description
• 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
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 • 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
Benefits
• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
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