Senior Machine Learning Engineer- Machine Learning Platform - job 1 of 11

As a Senior Machine Learning Engineer at Visa, your primary responsibilities will include monitoring the health of our infrastructure, problem-solving urgent issues, stabilizing the platform through extensive testing, and implementing new features. You'll also collaborate with the Kubernetes team and other infrastructure teams, making your role pivotal in support of our data scientists and researchers.

The Senior Machine Learning Engineer at Visa will work with a range of advanced technologies including Kubernetes, Ray, Torch, TensorFlow, XGBoost, and Spark. The development primarily utilizes Python and Go, ensuring that you will be engaged with state-of-the-art tools and frameworks in the machine learning field.

Candidates for the Senior Machine Learning Engineer position at Visa should typically have a strong background in machine learning and statistical modeling, proven experience with distributed computing frameworks, and proficiency in programming languages such as Python and Go. An understanding of Kubernetes and data infrastructure is also highly beneficial.

At Visa, the culture for a Senior Machine Learning Engineer is characterized by a strong sense of purpose, inclusion, and growth. You'll be part of a cross-functional team, working collaboratively while having the opportunity to make significant contributions that impact millions globally. Your identity will be embraced and your professional development prioritized.

The Senior Machine Learning Engineer position at Visa is a hybrid role, which allows for a blend of remote work and in-office collaboration. Specific days in the office will be confirmed by your hiring manager, giving you the flexibility to manage your work schedule effectively.

When answering this question, highlight your hands-on experience with frameworks such as Kubernetes or Spark. Share specific projects where you utilized these technologies, emphasizing how you resolved challenges and optimized performance.

To answer this, discuss specific machine learning models you've worked on, perhaps mentioning whether you used supervised or unsupervised learning techniques. Describe the context in which you applied these models and the results they yielded.

In your response, outline your systematic approach to testing, which may include unit tests, integration tests, and performance evaluations. Describe how you identify persistent issues and measure platform health to ensure robust operation.

You should express your proficiency with relevant programming languages, such as Python and Go, and explain how you apply these languages in data manipulation, model training, and creating testing frameworks in machine learning projects.

Demonstrate your problem-solving skills by explaining your step-by-step process for diagnosing and addressing urgent issues. Give examples of your past experiences with troubleshooting and maintaining system reliability under pressure.

Select a complex project that showcases your skills as a Senior Machine Learning Engineer. Discuss your specific contributions, the technologies used, challenges faced, and how your work impacted the overall project.

Talk about the resources you utilize to stay informed, such as research papers, online courses, industry seminars, or networking with professionals. Emphasize your commitment to continuous learning in the field.

Reflect on current trends and potential advancements in machine learning that could affect the financial services sector. Consider discussing areas like fraud detection, personalized banking, and predictive analytics, showcasing your vision for the industry.

Describe your teamwork and communication skills by providing examples of how you've successfully worked with cross-functional teams. Highlight your role in bridging technical and non-technical discussions to enhance collaborative outcomes.

In your answer, demonstrate your foresight in identifying potential challenges, such as ensuring data quality, managing large datasets, or scaling machine learning solutions. Discuss how your skills and experience prepare you to tackle these challenges effectively.