Elevate your career as a Machine Learning Engineer with Affirm, focusing on underwriting prediction models in a remote-friendly workplace. 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.

📌 Machine Learning Engineer At Affirm Mississauga
🏢 Affirm
📍 Mississauga