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Senior Engineering Manager, AIML
Senior Engineering Manager, AIMLRemitly • Burnaby, British Columbia, Canada
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Senior Engineering Manager, AIML

Senior Engineering Manager, AIML

Remitly • Burnaby, British Columbia, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Job Description :

At Remitly we believe everyone deserves the freedom to access move and manage their money wherever life takes them. Since 2011 weve 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 its supporting loved ones back home growing a business across continents or pursuing new opportunities abroad were not just here to move money were here to move our global customers forward. Were looking for builders reimaginers and global thinkers who want to work at the intersection of technology trust and transformation. If thats you and youre ready to do the most meaningful work of your careerwe 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 Remitlys next generation of products. The Core AI / ML team partners across Remitlys 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 Remitlys 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 companys 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 teams 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.

    Required Experience :

    Manager

    Key Skills

    Data Center Experience,ArcGIS,Cloud Infrastructure,Construction Estimating,Go,Mathcad,React,Redux,AWS,Software Development,Auto Estimating,Distributed Systems

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 200000 - 250000

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