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Day 55
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Burnaby, British Columbia, Canada
Live, first seen by us 55 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and build Go backend services on AWS for high-scale AI/ML workloads
Develop core ML platform offerings like Feature Store, ML Orchestration, and Model Deployment & Serving
Partner with data scientists and ML engineers to deliver end-to-end solutions
Drive infrastructure optimization and automation for scalability and reliability
Design and build backend services in Go on AWS to support high-scale AI / ML workloads.
Develop and enhance core AI / ML platform offerings—including Feature Store, ML Orchestration, and Model Deployment & Serving
Partner closely with data scientists, ML engineers, and software engineers across multiple domains to deliver end-to-end solutions.
Drive infrastructure optimization and automation, improving system scalability, reliability, and developer velocity.
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
You Have: - 8+ years of experience developing production applications, ideally in Go or Java. - 2+ years of experience working on platform and / or infrastructure teams.
You Will: - Design and build backend services in Go on AWS to support high-scale AI / ML workloads. - Develop and enhance core AI / ML platform offerings—including Feature Store, ML Orchestration, and Model Deployment & Serving—with a focus on performance, reliability, and usability.
Complete your application on remitly.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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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.
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:
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.About the Role:
At Remitly, our mission is to transform lives by building trusted financial services that transcend borders. Each year, millions of customers send billions of dollars across 170+ countries, directly impacting families and communities worldwide.
We're seeking a Senior Engineer to shape the tooling and infrastructure that power the next generation of scalable AI / ML products at Remitly. In this role, you'll collaborate with AI / ML, data science, and infrastructure teams to design systems that enable seamless AI / ML experimentation, training, deployment, serving, and evaluation. Your work will accelerate how quickly AI / ML ideas turn into customer impact—at a global scale.
You'll report to the ML Platform Engineering Manager and play a critical role in defining and building the foundation for Remitly's future AI-driven products.
You Will:
You Have:
Compensation Details. The starting base salary range for this position is 124,000.00 - 155,000.00. 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
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. 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. 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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Burnaby, British Columbia, Canada
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