Machine Learning Engineer II (ROA + LTV ML)
New
A
AffirmCredit decisioning
Remote CanadaFull-TimeMiddle
SalaryCAN base pay range per year: $133,000 - $183,000
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Job Details
- Experience
- 2+ years of experience as a machine learning engineer or PhD in a relevant field
- Required Skills
- PythonSQLMachine LearningSparkDeep Learningscikit-learn
Requirements
- Have 2+ years of experience as a machine learning engineer or a PhD in a relevant field.
- Demonstrate proficiency in machine learning, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
- Bring strong engineering skills in Python and data manipulation skills such as SQL.
- Have experience with large-scale distributed systems such as Spark or Ray.
- Have experience with open-source projects and software such as scikit-learn, pandas, NumPy, XGBoost, and Kubeflow.
- Have experience developing machine learning models at scale from inception to business impact.
- Be able to drive cross-functional requirements with product and engineering teams.
- Be able to present technical concepts and results to an audience-appropriate level.
Responsibilities
- Use proprietary and third-party data to develop production machine learning models that predict default and support approval or decline decisions.
- Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems.
- Research solutions and develop prototypes for credit decisioning.
- Implement and scale data pipelines, features, and algorithms used in production models.
- Collaborate with engineering, credit, and product teams to define requirements for new products.
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