Machine Learning Engineer II

Seattle, WA, United States of America

Category: Engineering
Job ID: R_105666
Job Type: Regular

Job Description:

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.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description:

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.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

What our Remitlians say

Evelyne Kuo

Program Manager - Technical

On the Security & Privacy team, I reimagine what’s possible by going beyond traditional compliance to create a culture where security is part of everyone’s day-to-day — through programs like our champion network, engaging training sessions, and company-wide awareness events that make security approachable and empowering.”

What our Remitlians say

Amara Agbo

Software Development Engineer II

To me, reimagining what’s possible means constantly learning new technologies and applying cutting-edge solutions to build localized systems that scale across currencies, countries, and regulations. The challenges we solve at Remitly don’t just strengthen our platform — they expand financial access for millions of people worldwide. That’s what makes the work both exciting and impactful.”

What our Remitlians say

Rosa Castellon Herrera

Senior Team Manager - QA

Stand for excellence means to me always raising the bar, pushing through discomfort, to deliver our best to our teams and customers every time. We come together as a team to share ideas to develop a rubric that helps us deliver impactful results.”

What our Remitlians say

A photo of a Remitly employee, smiling and looking at the camera.

Stephanie Cameron

Senior Product Manager

On the product team at Remitly, I’m trusted to make decisions that drive real impact—not just for my team, but for the business and our customers. I’m encouraged to take ownership of problems even when they’re outside my immediate scope, to speak up, and to bring the right people together to solve them. Lately, that’s meant working on real-time FX and funding tools that support our treasury team in lowering transaction costs—so we can pass those savings on to our customers. That trust and cross-team collaboration make it easy to stay focused on what really matters in the long run.”

What our Remitlians say

Nadav Yekutiel

Senior Manager - Analytics

At Remitly, diving deep has meant pushing past easy answers to truly understand what our customers need. I’ve seen our analytics teams uncover insights that weren’t obvious at first glance — like identifying hidden friction points in the customer journey that, once solved, improved both experience and trust. This commitment to going beyond the surface makes our recommendations stronger, and it’s a big part of how we deliver meaningful impact across the business.”