Senior Engineering Manager, AI/ML

· Remote

Location

Remote

Type

Full Time

Job Description

RemitlyJobs
Senior Engineering Manager AI/ML

Senior Engineering Manager AI/ML

Reposted 6 Hours Ago
3 Locations
In-Office
200K-250K Annually
Senior level
eCommerce • Fintech • Payments • Software • Financial Services
We provide trusted digital financial services to our customers and recipients in over 170 countries across the globe.
The Role
Lead a team of Machine Learning Engineers and Data Scientists to design and deliver ML systems at Remitly. Collaborate across domains to implement MLOps best practices and contribute to AI strategy.
Summary Generated by Built In

Job Description:

{Must be willing to work out of our Vancouver BC Canada engineering site}.
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 2800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

At Remitly we are transforming lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across more than 170 countries creating meaningful impact for communities around the world.

As a Senior Machine Learning Engineering Manager for the Core AI/ML team you will lead the design and delivery of the machine learning systems and frameworks that power Remitly's next generation of products. The Core AI/ML team partners across Remitly's domains including Global Money Movement Treasury Identity and Trust Promotions and Referrals to make machine learning accessible scalable and effective for every product and customer experience.

You will lead a team of Machine Learning Engineers and Data Scientists set technical direction and work closely with cross-functional partners in various domains across the company.

You Will:

  • 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.

You Have:

  • 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.

Compensation Details. The starting base salary range for this position is $200000 - $250000. 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 and travel 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.

Skills Required

  • 10+ years of experience in software or machine learning engineering
  • 3+ years of experience managing or leading technical teams in applied ML or data-focused domains
  • Deep understanding of the machine learning lifecycle
  • 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

What the Team is Saying

Luz
Colleen
David

Remitly Compensation & Benefits Highlights

How does Remitly ensure its pay and bonus plans are competitive?

Remitly ensures competitive compensation through a combination of performance-driven rewards strong benchmarking practices and a focus on aligning pay with both market standards and employee impact. The company emphasizes rewarding excellence and ownership—core elements of its culture—by recognizing employees who deliver meaningful results and contribute to customer outcomes.

Compensation is supported by structured performance and development processes where employees receive ongoing feedback coaching and evaluation tied to both individual contributions and broader business impact. This approach helps ensure that rewards—including salary growth and incentives—are aligned with performance growth and company success.

Remitly also reinforces fairness and transparency through its values-driven culture which emphasizes integrity data-driven decision-making and continuous improvement. These principles guide how compensation decisions are made helping ensure consistency and alignment with both internal standards and external market expectations.

Additionally the company’s rapid growth and expansion into new products and markets create opportunities for employees to increase their scope impact and earning potential over time. As Remitly scales its platform and innovates across financial services compensation evolves alongside business performance and employee contributions. 

Employee Perspective

“I’ve since applied this by coaching my team to not just hit metrics but to understand why each number matters — how it reflects customer experience and operational efficiency.”

— Charlaine M. Team Manager Customer Protection

At-a-Glance

  • Compensation approach: Performance-based values-driven aligned with impact
  • Reward structure: Salary growth and incentives tied to performance ownership and results
  • Decision framework: Data-driven integrity-focused aligned with company values
  • Growth opportunity: Expanding platform and global scale create upward earning potential

External Signals

  • Employee satisfaction: ~85/100 culture score (A+) based on 7333 ratings indicating strong overall employee experience
  • Recognition: 12 Comparably awards across 2025–2026 including Best Company Compensation Best Company Perks & Benefits and Best Company Outlook
  • Employee sentiment: Thousands of employee ratings reflect high satisfaction with workplace experience and rewards

Remitly Insights

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The Company
HQ: Seattle WA
2800 Employees
Year Founded: 2011

What We Do

Since 2011 Remitly has been tirelessly delivering on our promises to our customers sending their hard earned money home. Today we are incredibly proud to have served millions of customers globally. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Why Work With Us

We are united through our vision to transform lives with trusted financial services that transcend borders. We accomplish our vision by relentlessly focusing on culture via our cultural values. That starts with putting customers at the center of everything we do and includes investing in the growth & development of our team.

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Remitly Teams

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About our Teams

Remitly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our best work begins in moments when ideas spark when we are deeply connected and when we’re moving fast to solve challenging customer problems. These moments shape our culture. Our guidance is to committing to 3 days a week in the office.

Typical time on-site: 3 days a week
HQSeattle WA
United Arab Emirates
India
Amsterdam NL
Arlington VA
Cork IE
Kraków PL
London GB
Managua NI
Manila PH
New Westminster BC
Spokane WA
Tel Aviv-Yafo IL
Learn more

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Date Posted

05/29/2026

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