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Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Senior Machine Learning Engineer

Mastercard is a world leading payments and technology company with the aspiration to help reshape the digital economy so everyone can realize their ambitions. Technology is our product, and we pride ourselves in using the latest technologies to create secure, customer centric experiences.

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. 

Overview

Job Title: Senior ML Engineer

Reporting to the Director of Applied AI and working the with the Applied AI team, the ML Engineer will enable AI impact at scale by building AI-powered applications and managing the MLOps lifecycle.

Responsibilities:

• Participate in team prioritization discussions with Product/Business stakeholders

• Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements.

• Automate build, operate, and run aspects of software

• Drive code/design/process trade-off discussions within their team when required

• Report status and manage risks within their primary application/service

• Drive integration of services focusing on customer journey and experience

• Perform demos/acceptance discussions in interacting with Product owners

• Develop complete understanding of end-to-end technical architecture and dependency systems.

• Drive adoption of technology standards and opinionated frameworks, and review coding, test, and automation work of team members

• Mentor and guide new and less-experienced team members.

• Identify opportunities to improve an overall process and trim waste.

• Share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity.

Skills & Experience:

• Bachelor’s degree in computer science, Software Engineering, or a related field

• 4+ years of experience in Software Engineering with exposure to Data Engineering or Data Science

• Strong proficiency in programming languages like Python, Java, or Scala.

• Familiarity to basic AI/ML concepts ( model training, serving etc)

• Understands internals of operating systems (Windows, Linux) to write interoperable and performant code.

• Able to perform debugging and troubleshooting to analyze core, heap, thread dumps and remove coding errors.

• Understands and implements standard branching (e.g., Gitflow), peer reviews and CI/CD practices (e.g. Jenkins)

• Has skills in test driven and behavior driven development (TDD and BDD) to build just enough code and collaborate on the desired functionality.

• Understands and implements Application Programming Interface (API) standards and cataloging to drive API/service adoption and commercialization.

• Apply tools (e.g., Sonar, Checkmarx) and techniques to scan and measure code quality and anti-patterns as part of development activity.

• Has skills to collaborate with team and business stakeholders to estimate requirements (e.g., story pointing) and prioritize based on business value.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team.

• Familiarity with cloud platforms (AWS, Azure, Databricks) is a plus.

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

If you require accommodations or assistance to complete the online application process, please contact reasonable.accommodation@mastercard.com 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.

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled 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 reasonable_accommodation@mastercard.com 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 comes 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, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

O'Fallon, Missouri: $115,000 - $184,000 USD