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Remitly Machine Learning Engineer Role
Remitly Canada Operations, Inc.
Full-time
burnaby, metro vancouver regional district
Engineering
Posted:
June 05, 2026
Location:
burnaby, metro vancouver regional district, Canada
Job Description
Join Remitly as a Machine Learning Engineer, focusing on systems that prevent fraud and protect customers. Balance machine learning innovation with an outstanding user experience.
This role is key to Remitly’s mission, requiring over two years of experience in developing machine learning models and data systems. You will design, implement, and maintain systems to monitor risky transactions while building reliable feature pipelines. Optimize model performance through MLOps practices and engage in technical discussions to enhance system efficiency.
Key Responsibilities:
• Create models for identifying fraudulent transactions
• Develop robust engineering pipelines for real-time data
• Apply MLOps practices to ensure model reliability
• Take part in technical code reviews and system discussions
• Ensure optimal performance of production models
Requirements:
• Degree in computer science, statistics, or related
• 2+ years in building ML systems
• Proficient i...
This role is key to Remitly’s mission, requiring over two years of experience in developing machine learning models and data systems. You will design, implement, and maintain systems to monitor risky transactions while building reliable feature pipelines. Optimize model performance through MLOps practices and engage in technical discussions to enhance system efficiency.
Key Responsibilities:
• Create models for identifying fraudulent transactions
• Develop robust engineering pipelines for real-time data
• Apply MLOps practices to ensure model reliability
• Take part in technical code reviews and system discussions
• Ensure optimal performance of production models
Requirements:
• Degree in computer science, statistics, or related
• 2+ years in building ML systems
• Proficient i...
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Job Type:
Full-time
Location:
burnaby, Canada
Posted:
June 05, 2026
Deadline:
July 15, 2026