Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is a hybrid role based in the Toronto office.
Candidates need 8+ years of industry experience building production Machine Learning systems.
Required skills include experience with deep learning technologies for recommendation systems using TensorFlow, PyTorch or similar, proficiency in full-stack ML pipelines including data extraction, feature development, model training, testing, and deployment, and solid understanding of statistical concepts like hypothesis testing and regression analysis.
An MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is required.
Strong candidates will have 8+ years building production ML systems at scale, advanced expertise in recommendation systems and deep learning with frameworks like TensorFlow or PyTorch, experience with full ML pipelines, and the ability to collaborate with cross-functional teams on high-impact projects.
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