Machine Learning Engineer

About The Company
Mastercard is a global leader in payment technology, powering economies and empowering individuals across more than 200 countries and territories worldwide. The company is committed to building a sustainable economy where everyone can prosper by providing secure, simple, smart, and accessible digital payment solutions. Mastercard's innovative approach combines cutting-edge technology, strategic partnerships, and extensive networks to deliver a diverse range of products and services that help people, businesses, and governments realize their full potential. With a focus on security, innovation, and customer-centric solutions, Mastercard continues to shape the future of digital payments and financial inclusion.

About The Role
We are seeking a highly motivated Machine Learning Engineer to join our Security Solutions Data Science team in Vancouver, Canada. In this role, you will be instrumental in developing and deploying advanced AI and ML models that underpin Mastercard's fraud detection and security systems. Your expertise will contribute to building scalable, resilient, and automated processes for model creation, evaluation, and deployment.

You will collaborate closely with data scientists and engineering teams to optimize existing modeling pipelines, develop high-performance computation engines capable of handling petabytes of data, and create reusable, well-architected products that enhance our fraud detection capabilities. This position offers an exciting opportunity to work on innovative solutions that impact millions of digital transactions worldwide, leveraging your problem-solving skills and technical expertise to advance Mastercard's mission of secure and seamless digital payments.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related STEM field
• Proficiency in Linux/Bash environments
• Experience with Python, Pyspark, Airflow, CI/CD pipelines, JIRA, Hadoop, SQL, Databricks, Ray
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills for cross-team collaboration
• High degree of initiative and proactive mindset
• Knowledge of deploying and validating production AI/ML artifacts
• Understanding of data engineering principles and scalable computing architectures

Nice To Have

• Graduate degree in Computer Science, Data Science, AI, or related STEM fields
• Experience in Data Science and machine learning model development
• Knowledge of C++ and/or Rust programming languages
• Experience with error evaluation and model validation techniques

Responsibilities

• Collaborate with data scientists to understand existing modeling pipelines and identify opportunities for optimization and automation
• Develop scalable machine learning tools and frameworks to address complex problems faced by data science teams
• Create and maintain high-throughput computation engines capable of processing large-scale datasets
• Assist deployment teams in deploying, validating, and monitoring AI/ML models in production environments
• Identify innovative solutions and patterns to simplify workflows, automate tasks, and build reusable components for multiple teams
• Design, document, and maintain well-architected AI/ML products that are easy to understand and support ongoing development
• Participate in code reviews, testing, and validation to ensure high-quality deliverables
• Stay updated on the latest advancements in AI and machine learning to continually improve processes and solutions

Benefits

• Competitive salary range of $91,000 - $140,000 CAD based on experience and qualifications
• Comprehensive health and wellness benefits package
• Opportunities for professional development and continuous learning
• Collaborative and inclusive work environment that values diversity
• Flexible work arrangements to support work-life balance
• Access to cutting-edge technology and innovative projects
• Paid time off and holiday leave policies

Equal Opportunity

Mastercard is an equal opportunity employer that values diversity and inclusion in the workplace. We are committed to creating an environment where all employees and applicants are treated with respect and fairness, regardless of gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law.