
Senior Machine Learning Engineer
Role summary
Remitly is seeking a Senior Machine Learning Engineer to join their Core AI/ML team. This role involves building foundational ML systems and services that power the company's products and operations across various domains. The engineer will lead the end-to-end ML lifecycle, design and scale feature pipelines, and partner with cross-functional teams to deploy customer-facing ML systems. Key responsibilities include optimizing models and pipelines using MLOps best practices and mentoring other engineers. The ideal candidate has 5+ years of experience delivering ML systems in production, strong programming skills in Python, Go, or Scala, and experience with ML frameworks and cloud platforms.
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.
- 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 $196,000-$245,000. 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.
Sample Remitly interview questions
- 1
How would you architect a scalable configuration management system for a large microservices ecosystem?
system designmedium - 2
How would you build the backend for a centralized mobile application repository focusing on the data models used for apps users and reviews?
system designmedium - 3
Diameter of a Binary Tree Find the diameter of a binary tree. Input: root = [1,2] Output: 1 Explanation: The longest path is simply the single edge connecting the root node to its only child.
codingmedium - 4
Longest Consecutive Sequence Determine the length of the longest consecutive elements sequence. Input: nums = [0,3,7,2,5,8,4,6,0,1] Output: 9 Explanation: The longest consecutive sequence is 0 through 8 (length 9), utilizing a hash set to check connectivity in linear time.
codingmedium - 5
Encode and Decode Strings Encode a list of strings into a single string and decode it back. Input: strs = ["","hello",""] Output: ["","hello",""] Explanation: Prepends chunk lengths and a delimiter (e.g., "0#5#hello0#") to safely encode and perfectly restore empty strings.
codingmedium
Sign up for a personalized interview prep pack tailored to this role.
Similar roles
Machine Learning EngineerMastech Digital · Dallas, Texas, United States · Onsite- Machine Learning EngineerEdurech Technoogy · Santa Clara, California, United States · Hybrid
- Machine Learning EngineerMORSE Corp · Boston, Massachusetts, United States · Hybrid
- Machine Learning EngineerReddit · San Francisco, California, United States · Remote
- Machine Learning EngineerReddit · New York, New York, United States · Remote