Karkidi
Senior Machine Learning Engineer, Checkout Underwriting
Karkidi, Hartford, Connecticut, United States,
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 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!What You'll Do
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 objectivesPartner with platform and product engineering teams to build model training, decisioning, and monitoring systemsResearch ground breaking solutions and develop prototypes that drive the future of credit decisioning at AffirmImplement and scale data pipelines, new features, and algorithms that are essential to our production modelsCollaborate with the engineering, credit, and product teams to define requirements for new productsWhat We Look For
6+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOEExperience developing machine learning models at scale from inception to business impactProficiency 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 plusStrong engineering skills in Python and data manipulation skills like SQLExperience using large scale distributed systems like Spark or RayExperience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, KubeflowExperience with Kubernetes, Docker, and Airflow is a plusExcellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teamsPersistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in AffirmThis position requires either equivalent practical experience or a Bachelor’s degree in a related field
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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 objectivesPartner with platform and product engineering teams to build model training, decisioning, and monitoring systemsResearch ground breaking solutions and develop prototypes that drive the future of credit decisioning at AffirmImplement and scale data pipelines, new features, and algorithms that are essential to our production modelsCollaborate with the engineering, credit, and product teams to define requirements for new productsWhat We Look For
6+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOEExperience developing machine learning models at scale from inception to business impactProficiency 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 plusStrong engineering skills in Python and data manipulation skills like SQLExperience using large scale distributed systems like Spark or RayExperience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, KubeflowExperience with Kubernetes, Docker, and Airflow is a plusExcellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teamsPersistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in AffirmThis position requires either equivalent practical experience or a Bachelor’s degree in a related field
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