Senior Machine Learning Engineer
Burnaby, British Columbia, Canada
- 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
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Go
- Python
- Scala
- AWS
- Google Cloud (GCP)
- PyTorch
- Azure
- NumPy
- scikit-learn
Source — Tool mentions in context
- 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).
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.
Job description
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on remitly.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
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
- Location & working pattern
Burnaby, British Columbia, Canada
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 10, 2026
- Recorded sightings
- 74
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Aug 31, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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