Staff Machine Learning Scientist, Intern - PhD

$95,680 - $114,400/Yr

Visa - Austin, TX

Full-time - Intern

Hybrid - Austin, TX

Credit Intermediation and Related Activities

About the position

The Staff Machine Learning Scientist Intern at Visa will engage in cutting-edge research focused on AI and machine learning initiatives. This role is designed for Ph.D. students who will contribute to Visa's long-term research agenda in large-scale data analytics and machine learning, delivering innovative technologies and insights to enhance Visa's strategic products and business operations.

Responsibilities

• Design and implement efficient and scalable machine learning algorithms.
• Integrate data processing and training pipelines with big data infrastructure.
• Develop proof-of-concept prototypes with fast iteration and experimentation.
• Develop and maintain software design documentation, test cases, and performance evaluation.
• Work within an agile software engineering methodology and collaborative team development architecture.
• Deliver high-impact intellectual property values through research publications and patents.
• Collaborate with team members to deliver innovative technologies, insights, and products to Visa business units.
• Work with cross-functional teams that include representation from Technology, Product, Operations, and Market Research.

Requirements

• Students pursuing a Ph.D. with a graduation date in December 2025 or later.
• Strong communication skills, with clear and concise written and spoken communications.

Nice-to-haves

• Previous research experience with Deep Learning, NLP, LLM, Graph Neural Networks, Reinforcement Learning.
• Proficiency with object-oriented programming languages, such as Python, Scala, Java, or equivalent languages.
• Experience with large scale data processing using Hadoop and Spark is a plus.
• Demonstrated ability to think outside the box and innovate.
• Good analytical and problem-solving skills.

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program