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Affirm

Toronto / Global

Machine Learning Engineer at Affirm

  • Remote

Job Description

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 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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