Machine Learning Engineer

Get AI-powered advice on this job and more exclusive features. Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Machine Learning Engineer The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized. Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data‑driven insights, and execution. You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross‑channel AI solutions are applied in Fortune 500 companies in industries such as fin‑tech and payments processing. We are pursuing a highly motivated individual with strong problem‑solving skills to take on the challenge of structuring and engineering data and cutting‑edge AI model evaluation and reporting processes. As a Machine Learning Engineer, You Will Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities. Develop ML tools that scale to solve complex problems for Data Scientists in the modeling teams. Develop and maintain high‑throughput computation engines that can handle petabytes of data. Assist the deployment team to deploy and validate production artifacts. Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams. Create products that are well‑architected, thoroughly documented, and easy to understand and maintain. All About You Good knowledge of Linux / Bash environment. Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray. Good communication skills. Highly skilled problem solver. Exhibits a high degree of initiative. At least an undergraduate degree in CS, or a STEM related field. Nice To Have Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field. Data Science Experience. Experience with C++ and/or Rust. Understands and implements methods to evaluate own work and others for error. Equal Employment Opportunity Mastercard is a merit‑based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach. Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Pay Ranges Vancouver, Canada: $91,000 - $140,000 CAD Seniority Level Entry level Employment Type Full‑time Job Function Engineering and Information Technology Industries Financial Services, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at Mastercard by 2x Get notified about new Machine Learning Engineer jobs in Vancouver, British Columbia, Canada . #J-18808-Ljbffr