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 10+ years of industry experience in machine learning engineering and distributed systems, plus 3+ years of leadership and management experience.
An MSc or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent practical experience is required.
Proven expertise in building end-to-end ML systems at scale, strong background in distributed systems architecture, and hands-on experience with deep learning frameworks like TensorFlow and PyTorch are essential.
The role involves leading high-performing teams while fostering a culture of innovation, collaboration, and growth.
This information is not specified in the job description.
A strong candidate has 10+ years in ML engineering and distributed systems, 3+ years leading technical teams, advanced education in CS/ML, and proven expertise in scalable ML systems including recommendations and deep learning frameworks.
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