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Staff Machine Learning Scientist, Intern - Summer 2025

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Visa

Sep 28

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Foster City
  • Quick Apply

AI generated summary

  • You must be a Ph.D. student graduating Dec 2025 or later, with strong communication, ML/DL experience, software engineering skills, LLM knowledge, and expertise in Golang, Java, Python, or C/C++.
  • You will collaborate on AI solutions, apply transformer breakthroughs, build experimentation tools, enhance AI governance, engineer synthetic data, and promote deep learning knowledge within the team.

Requirements

  • Students pursuing a Ph.D. with a graduation date in December 2025 or later
  • Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment.
  • Experience in innovative and new areas such as Machine Learning, Deep Learning, MLOps.
  • Experience with hands-on development, solving a range of modeling problems, e.g Predictive Modeling, Reinforcement Learning, Large Language Models (LLMs)
  • History of published papers or conference presentations on Deep Learning
  • Experience in software engineering, with the ability to develop large scale and low latency infrastructure for deep learning data, modeling, and system evaluation.
  • Experience in using at least one mainstream deep learning frameworks (PyTorch/TensorFlow).
  • Understanding of Transformer architectures and their applications.
  • Familiarity with the latest advancements in LLMs and generative AI technologies.
  • Author for publications at top-ranked, peer-reviewed AI conferences/journals.
  • Expertise in at least one of the following: Golang, Java, Python, or C/C++

Responsibilities

  • You can be part of a team building AI solutions used by billions of Visa cardholders, pushing the boundaries and tradeoffs among accuracy, latency, throughput, and cost.
  • Or you can apply the breakthroughs of transformers and high-performance computing to financial data - Visa has a unique dataset of decades of financial transactions - with a unique dataset, we have an opportunity to create unique generative models, that no one else can.
  • Or you can build tools and processes for experimentation, simulation, testing, and validation of AI models, merging advanced AI techniques with Gen AI capabilities - this unique combination not only ensures the observability of AI models, but also enhances their interpretability, paving the way for clear and comprehensive insights.
  • Or you can help create a forward-looking AI Governance solution to solve new challenges brought by Generative AI, including solutions to issues of AI fairness and explain-ability.
  • Last, but not the least, you can join the efforts of synthetic data engineering which looks to create an efficient data factory running various learning and generative models for Visa’s data at scale while respecting all requirements for security, compliance, and privacy.
  • Collaborate with the team manager of the embedded team to come up with a proposal of work that bridges Deep Learning knowledge with a problem that the team is trying to solve.
  • Execute the proposal with coding and design in Visa’s engineering environment and datacenters, with a demo that showcases the contribution made during the visit.
  • Evangelize and grow deep learning knowledge within the team and outside based on the work.

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.

Technology
Industry
10,001+
Employees
1958
Founded Year

Mission & Purpose

Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid.