Senior Machine Learning Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

Senior Machine Learning Engineer

Reposted 4 Hours Ago
Seattle WA USA
In-Office
196K-245K Annually
Senior level
eCommerce • Fintech • Payments • Software • Financial Services
We provide trusted digital financial services to our customers and recipients in over 170 countries across the globe.
The Role
As a Senior Machine Learning Engineer you will build scalable ML systems lead the ML lifecycle mentor engineers and collaborate across teams.
Summary Generated by Built In

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 2800 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.
  • 5+ 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.

Compensation Details. The starting base salary range for this position is typically $196000-$245000. In the U.S. 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:

  • Flexible paid time off
  • Health dental and vision + 401k plan with company matching
  • Paid parental medical military and family care leave
  • Mental Health & Family Forming Benefits
  • Employee Stock Purchase Plan (ESPP)
  • 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.

Top Skills

AWS
Azure
GCP
Go
Numpy
Python
PyTorch
Scala
Scikit-Learn

What the Team is Saying

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Colleen
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The Company
HQ: Seattle WA
2800 Employees
Year Founded: 2011

What We Do

Since 2011 Remitly has been tirelessly delivering on our promises to our customers sending their hard earned money home. Today we are incredibly proud to have served millions of customers globally. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Why Work With Us

We are united through our vision to transform lives with trusted financial services that transcend borders. We accomplish our vision by relentlessly focusing on culture via our cultural values. That starts with putting customers at the center of everything we do and includes investing in the growth & development of our team.

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Remitly Teams

Team
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About our Teams

Remitly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our best work begins in moments when ideas spark when we are deeply connected and when we’re moving fast to solve challenging customer problems. These moments shape our culture. Our guidance is to committing to 3 days a week in the office.

Typical time on-site: 3 days a week
HQSeattle WA
Amsterdam NL
Arlington VA
India
Cork IE
United Arab Emirates
Kraków PL
London GB
Manila PH
New Westminster BC
Spokane WA
Tel Aviv-Yafo IL
Learn more

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Date Posted

04/09/2026

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