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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

As a Senior 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.

We are looking for an experienced Machine Learning Engineer to build large scale systems that propel our next phase of growth.

You Will

• Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model 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.
• Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar code quality.

You Have

• Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
• 8+ 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).
• Experience 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.