Machine Learning Engineer II

Remitly • Seattle, WA

4d

About The Position

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.

Requirements

• 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).

Nice To Haves

• Experience with one or more of Deep Learning algorithms, Large Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees