Machine Learning Engineer II

Machine Learning Engineer II page is loaded## Machine Learning Engineer IIlocations : Burnaby, British Columbia, Canadatime type : Full timeposted on : Posted Yesterdayjob requisition id : R\_105319

• Job Description :
• At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money— we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.
• About the Role :
• At Remitly, we are on a mission to transform lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.As a Machine Learning Engineer in Remitly's Core AI / ML team, you'll work at the heart of our AI strategy. The Core AI / ML team is responsible for building the foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations. We work horizontally across domains at Remitly—Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, etc.You'll collaborate with experienced engineers and data scientists to design, develop, and deploy machine learning models that help scale Remitly's mission and impact worldwide.
• You Will :
• Implement and maintain ML models across the full lifecycle—from data exploration and feature engineering to training, evaluation, and deployment.
• Design, build, and scale feature pipelines for batch and real-time ML applications.
• Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
• Optimize models and pipelines using MLOps best practices : automated retraining, drift detection, CI / CD, monitoring, observability.
• Contribute to technical discussions and design reviews to improve team practices and systems.
• You Have :
• Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
• 2+ years delivering Machine Learning systems in production.
• Strong programming skills in Python, Go, Scala or a similar language.
• Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
• Familiarity working with major cloud platforms (AWS, GCP, or Azure).
• Experience with one or more of Deep Learning algorithms, Large Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
• Compensation Details.
• The starting base salary range for this position is $132,000-$165,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
• Our Benefits
• Four weeks vacation
• Health Benefits
• Mental Health & Family Forming Benefits
• RRSP plan with company match
• Employee Stock Purchase Plan (ESPP)
• Life Insurance & Disability
• Continuing education and travel benefits
• Our Connected Work Culture : Driving Innovation, Together
• At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.
• Remitly is an E-Verify Employer
• At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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