Remitly

Senior Machine Learning Engineer

Burnaby, British Columbia, Canada

Live, first seen by us 55 days ago

Pay: $168,000–210,000/year · BaseAnnual period assumed — pay source
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 $168,000-$210,000. 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
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Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Lead the end-to-end ML lifecycle from raw data to deployment
Design, build, and scale feature pipelines for batch and real-time ML
Turn prototypes into reliable, customer-facing ML systems with partners
Apply MLOps practices: automated retraining, drift detection, CI/CD, monitoring
Mentor engineers and lead design reviews and code quality standards

From the employer’s posting

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.

Benefits in the posting

Full benefits wording

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
Remitly is an E-Verify Employer

From the employer’s posting.

Apply at Remitly

Posting record

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Status in our records: Live
First seen by us: Sep 10, 202655 days ago
Recorded sightings: 123
Last seen by us: Nov 4, 2026
Employer says posted: Aug 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 55

Similar jobs usually come down between day 6 and day 69.

From 4,347 similar postings that came down. Coming down is not always a hire.

Remitly is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Scala
AWS
Azure
GCP
NumPy
PyTorch
scikit-learn
Go

Where the posting names them

- 8+ 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).

- 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.

- 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).

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.
8+ 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 $168,000-$210,000. 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

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.Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. 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.

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