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.

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