Staff ML Engineer - Machine Learning

2-6 years
a month ago 5 Applied
Job Description

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Ready to make a global impact by industrializing AI and ML

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

This position is for a Staff ML Engineer with solid background in development and production, who will focus on creating and maintaining new capabilities for AI as a Service while maturing our AI products, platforms and processes. In this position, you are first a passionate and talented software engineer who can work in a dynamic environment, has strong skills in problem-solving, coding, testing and troubleshooting skills. You must be willing to go beyond the routine, challenge yourself and be prepared to do a bit of everything during the entire platform development lifecycle.

You will be an integral part of the AIaS engineering team, often investigating new requirements, designing, refactoring, implementing, and documenting continuously, in a continuous effort to provide better solutions to your consumers. You must be a self-organized individual should be flexible and willing to switch tasks based on business needs.

If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.


6 years of relevant work experience with a bachelors degree or 4 years of relevant work experience with an advanced degree (e.g., Masters, MBA, MD) or 2 years of relevant work experience with a PhD

Preferred Qualifications:

  • Exposure to leading-edge areas such in Machine Learning, Big Data and Distributed Systems
  • Strong experience in Python and at least one of the following: Golang, Java, Rust or C/C++
  • Familiarity with web service standards and related patterns
  • Experience implementing solutions for low-latency, distributed services using open standard technologies.
  • Knowledge of common Big data and Real Time technologies
  • Hands on experience in building and maintaining data pipelines, feature engineering pipelines and comfortable with core ML concepts and technologies
  • Hands on experience in engineering, testing, validating and productizing AL/ML models for high performance as well as interactive use cases
  • Knowledge about DR / HA topologies with hands on experience in containerized and virtualized environments
  • Exposure to public cloud equivalents, and ecosystem shall be a plus
  • Strong interpersonal with effective communication (both written and verbal) skills

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.







web service standards
DR / HA topologies
containerized and virtualized environments
public cloud equivalents
Real Time technologies

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