Elevate your career as a Machine Learning Engineer with Affirm, focusing on underwriting prediction models in a remote-friendly setting. Work on scalable ML systems that make real-time decisions.
Affirm is seeking a skilled engineer with over two years of experience, preferably with a PhD. You will develop models for classification problems, build feature pipelines, and enhance decision systems. Collaboration with cross-functional teams is key to ensuring the models are robust and effective.
Key Responsibilities:
• Develop underwriting prediction models using diverse data
• Build and scale feature pipelines for decision systems
• Prototype new modeling ideas and run offline experiments
• Monitor model and data health for persistent improvement
• Collaborate with teams to define requirements and results
Requirements:
• 2+ years in machine learning engineering or relevant PhD
• Proficient in Python for production-quality code
• Experience with classification models like LightGBM
• Familiarity with deep learning frameworks like PyTorch
• Knowledge of ML lifecycle tooling, like Kubeflow
Bring your expertise to Affirm and innovate in the machine learning space.
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