Elevate your career as a Machine Learning Engineer with Affirm, focusing on underwriting prediction models in a remote-friendly environment. 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 recent 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. #J-18808-Ljbffr

📌 Machine Learning Engineer at Affirm (Kitchener)
🏢 Affirm
📍 Kitchener