Senior Engineering Manager, AI/ML

Remitly

Senior Engineering Manager leading AI/ML initiatives at Remitly, enhancing financial services for global customers. Overseeing technical direction and team development in a collaborative environment.

Posted 5/27/2026full-timeVancouver • Virginia, Washington • 🇺🇸 United StatesSenior💰 $200,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead and grow a high-performing team of Machine Learning Engineers and Data Scientists who prototype, develop, deploy, maintain, and iterate upon end-to-end ML systems, from data and feature pipelines to model research and production deployment
Partner with Product, Analytics, and Engineering teams to define the vision, strategy, and roadmap for Remitly's AI/ML applications
Implement best practices for MLOps, including automated retraining, drift detection, CI / CD, and observability
Establish clear technical standards, documentation, and design review processes that ensure quality and maintainability across the ML lifecycle
Mentor engineers, foster collaboration, and create an inclusive and supportive team culture
Contribute to strategic planning and influence the company's approach to AI investments and innovation.

Requirements

What you’ll need

10+ years of experience in software or machine learning engineering with a record of delivering ML systems in production
3+ years of experience managing or leading technical teams in applied ML or data-focused domains
Deep understanding of the machine learning lifecycle, including data ingestion, feature engineering, model training and deployment, A/B testing, and monitoring
Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Experience with large-scale customer facing ML systems
Experience designing and maintaining systems in a cloud environment such as AWS, GCP, or Azure
Expertise in one or more of Personalization, Natural Language Processing, Causal Inference, Deep Learning, Knowledge Graphs would be a plus
Proven ability to balance technical leadership with strategic thinking and execution
Excellent communication and collaboration skills across technical and non-technical partners
A passion for developing people and empowering teams to achieve meaningful impact.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

machine learning engineeringMLOpsPythonPyTorchTensorFlowscikit-learndata ingestionfeature engineeringmodel trainingmodel deployment

Soft Skills

team leadershipmentoringcollaborationcommunicationstrategic thinkingexecutionfostering inclusivitysupportive team cultureinfluencingpassion for developing people