Senior Staff Machine Learning Engineer, ML Fraud
CanadaFull-TimeStaff
SalaryCAN base pay range per year: $209,000 - $269,000
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonKubeflowMachine LearningMLFlowPyTorchSparkDistributed Systems
Requirements
- 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems.
- Experience leading end-to-end ML system design, from data architecture and feature pipelines to production deployment.
- Proficiency in Python and ML frameworks including PyTorch and XGBoost.
- Experience with ML tooling for orchestration and monitoring such as Kubeflow or MLflow.
- Deep understanding of representation learning, embedding-based modeling, and neural network-based sequence modeling (Transformers, recurrent, or attention-based models).
- Hands-on experience with distributed ML infrastructure including streaming/batch ingestion, feature stores, and model serving.
- Proven track record of driving technical innovation and delivering measurable business impact.
- Exceptional judgment, collaboration, and communication skills.
- Bachelor’s degree in a related field or equivalent practical experience.
Responsibilities
- Define and drive multi-year, multi-team technical strategy for machine learning, ensuring alignment with company-wide priorities.
- Lead the design, implementation, and scaling of advanced ML systems, setting architectural direction for complex initiatives.
- Partner with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities and infrastructure evolution.
- Provide broad technical leadership by mentoring senior engineers, elevating code quality, and driving technical excellence.
- Drive clarity on ambiguous technical decisions and resolve cross-team technical tensions.
- Own the long-term health, availability, and reliability of critical ML systems through robust monitoring and testing practices.
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