03 Oct
|
Affirm
|
Toronto
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. Develop underwriting prediction models using diverse data
- Build and scale feature pipelines for decision systems
- Monitor model and data health for persistent improvement
- 2+ years in machine learning engineering or relevant PhD
- Proficient in Python for production-quality code
- Knowledge of ML lifecycle tooling, like Kubeflow Bring your expertise to Affirm and innovate in the machine learning space.
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📌 Machine Learning Engineer (Fully Remote) (Toronto)
🏢 Affirm
📍 Toronto