Machine Learning Engineer II
Job in
Seattle, King County, Washington, 98101, USA
Listed on 2026-03-04
Listing for:
Remitly
Full Time
position Listed on 2026-03-04
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
Job Description & How to Apply Below
:
Remitly is on a mission to transform lives by providing trusted financial services that transcend borders. As a Machine Learning Engineer in Remitly's Core AI/ML team, you'll design, develop, and deploy machine learning models that help scale Remitly's mission and impact worldwide.
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.
Qualifications
:
Required
:
• 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).
Preferred
:
• Experience with one or more of Deep Learning algorithms, Large Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
Company
:
Remitly is a mobile payments service that enables users to make person-to-person international money transfers. Founded in 2011, the company is headquartered in Seattle, USA, with a team of employees. The company is currently Late Stage.
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