Machine Learning Engineer

About the Role  The Trust Machine Learning team protects Remitly's 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 $136,000-$170,000.
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  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.
EEO Statement  Remitly is an E-Verify Employer. Remitly is a dedicated equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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