Machine Learning Engineer II at Remitly

Burnaby, British Columbia, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience
2+ 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)
Familiarity working with major cloud platforms (AWS, GCP, or Azure)
Experience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing (desirable)

Responsibilities

Implement and maintain ML models across the full lifecycle—from data exploration and feature engineering to training, evaluation, and 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
Contribute to technical discussions and design reviews to improve team practices and systems

Skills

Key technologies and capabilities for this role

Machine LearningFeature EngineeringData ExplorationModel TrainingModel EvaluationModel Deployment

Questions & Answers

Common questions about this position

What experience level is required for this Machine Learning Engineer role?

Candidates need 2+ years delivering Machine Learning systems in production, along with a degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.

What programming languages and tools are required?

Strong programming skills in Python, Go, Scala or a similar language are required, plus hands-on experience with ML frameworks like PyTorch, scikit-learn, numpy.

What cloud platforms should candidates be familiar with?

Familiarity working with major cloud platforms such as AWS, GCP, or Azure is required.

What does the Core AI/ML team at Remitly work on?

The Core AI/ML team builds foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations across domains like Global Money Movement, Treasury, Identity & Trust, Promotions, and Referrals.

Is the salary or compensation specified for this position?

This information is not specified in the job description.

Remitly

International money transfer for immigrants

About Remitly

Remitly focuses on international money transfers, helping immigrants send money to their families quickly and securely at lower costs than traditional banks. The company charges transaction fees and earns from the exchange rate margin, offering various transfer options like bank deposits and cash pickups. Remitly enhances user experience through its website and mobile app, allowing real-time tracking of transfers, and engages with immigrant communities by providing helpful resources and educational support. Its goal is to meet the unique needs of immigrants while ensuring fast, affordable, and reliable money transfer services.

Seattle, WashingtonHeadquarters

2011Year Founded

$423.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Continuing Education or Travel Stipend

Office Culture

Flexible PTO, Schedules and Leaves

DEI Learning Opportunities

Community Engagement

Inclusive Benefits

Risks

Swift's integration into banks' channels poses a competitive threat to Remitly.

AI agents' rise may challenge Remitly's operational model in efficiency and cost-effectiveness.

Schall Law Firm's investigation could impact investor confidence and Remitly's reputation.

Differentiation

Remitly focuses on immigrants, offering competitive rates and fast, secure transactions.

The company leverages technology for a seamless user experience via its app and website.

Remitly engages with immigrant communities through content and educational initiatives.

Upsides

Increased digital wallet adoption in key markets expands Remitly's reach to unbanked individuals.

AI agents in operations could reduce costs and improve Remitly's efficiency.

Visa collaboration enhances Remitly's cross-border fund flow services, boosting customer satisfaction.

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