Machine Learning Engineer
Job Summary
Job Description:
At Remitly we believe everyone deserves the freedom to access move and manage their money wherever life takes them. Since 2011 weve 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 its supporting loved ones back home growing a business across continents or pursuing new opportunities abroad were not just here to move money were here to move our global customers forward.Were looking for builders reimaginers and global thinkers who want to work at the intersection of technology trust and transformation. If thats you and youre ready to do the most meaningful work of your careerwe 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:
The Trust Machine Learning team protects Remitlys customers by developing intelligent systems that prevent fraud. These systems assess the risk of every transaction and customer interaction while minimizing the impact on user experience and customer trust.
As a Machine Learning Engineer you will build feature engineering pipelines by integrating with rich data sources optimize model performance by exploring new techniques and algorithms and ensure the quality of live production models.
You Will:
Design implement and maintain machine learning models and systems to identify risky transactions and behavior
Build scalable reliable feature engineering pipelines for batch streaming and real-time features consumed by a diversity of machine learning models
Optimize models and pipelines ensuring system reliability and model monitoring by applying MLOps best practices
Contribute to design reviews architectural discussions code reviews and other technical activities to improve team practices and systems
You Have:
A degree in computer science data science statistics or related field (or equivalent experience)
2 years of experience building and deploying machine learning and/or data-intensive systems
2 years of programming experience in Python Go Scala or equivalent
Hands-on experience with ML frameworks (e.g. PyTorch scikit-learn numpy)
Experience working with cloud platforms (e.g. AWS GCP Azure)
Compensation Details. The starting base salary range for this position is $136000-$170000. In Canada 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
- Four weeks vacation
- Health Benefits
- Mental Health & Family Forming Benefits
- RRSP plan with company match
- Employee Stock Purchase Plan (ESPP)
- Life Insurance & Disability
- 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 teams 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.
Required Experience:
IC
About Company
Transfer money internationally to 170+ countries and 100+ currencies with no hidden fees. Receive funds securely using convenient delivery options.