FAQs
What is the job title for this position?
The job title for this position is Staff Machine Learning Scientist, Intern - Summer 2025.
What is the duration of the internship?
The internship is for the summer of 2025.
What type of candidates is Visa looking for?
Visa is looking for students pursuing a Ph.D. with a graduation date in December 2025 or later.
What are the primary areas of experience preferred for this internship?
Preferred areas include Machine Learning, Deep Learning, MLOps, and software engineering.
Are there opportunities for published research in this internship?
Yes, there are opportunities to drive patents and papers in top conferences and journals.
Is knowledge of any programming languages required for this role?
Yes, expertise in at least one of the following programming languages is required: Golang, Java, Python, or C/C++.
What tools and frameworks should candidates be familiar with?
Candidates should have experience using mainstream deep learning frameworks such as PyTorch or TensorFlow.
Will the internship involve collaboration with a team?
Yes, interns will collaborate with the team manager and other team members to bridge Deep Learning knowledge with real-world problems.
What is the estimated hourly pay range for this position?
The estimated hourly pay range for this position is $53.00 to $58.00, excluding potential sales incentives.
What are the work hours like for this position?
Work hours vary based on the needs of the department.
What is the policy on work location for this role?
This is a hybrid position where employees can alternate between remote and office work, typically expected to be in the office 2-3 set days a week.
Will there be any travel requirements for the internship?
Yes, this position requires travel 5-10% of the time.
Are there benefits associated with this internship?
Yes, the position may be eligible for a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), and more.
What kind of projects will an intern be involved in?
Interns may work on various projects related to AI solutions, deep learning applications to financial data, AI governance, and synthetic data engineering.
Is there a focus on generative AI technologies in this internship?
Yes, candidates will work on challenges and solutions related to Generative AI, including issues of fairness and explainability.
What type of educational background is preferred for this role?
A strong background in mathematical modeling, statistics, probability, and big data handling is preferred for this role.