Heading

Foster City, CA, USA

Internship

Hybrid

$40/hr - $45/hr

Intern

Visa is a world leader in payments and technology, and they are seeking a Machine Learning Engineer Intern to deploy AI/ML models and enhance machine learning pipelines. The intern will work collaboratively with various teams to design and deploy AI/ML based solutions, while gaining hands-on experience in a dynamic environment.

Apply Now

Responsibilities

Work collaboratively with Data Scientists, Data Engineer, Software Engineers, Product Manager and cross-functional partners to design and deploy AI/ML based solutions and products
Build end to end automated pipeline for AI/ML models including model development, validation, model refit, model recalibration, model monitoring and model serving etc.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Visa’s unique business and offerings.
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.

Qualification

Required

Pursuing a Bachelor’s or Master’s degree in Machine Learning Engineering, Computer Science, Data Science, or a related STEM/quantitative field, graduating December 2026 – August 2027
Strong communications skills, specifically the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment.

Preferred

Basic experience or knowledge in one or more database tools, such as Hadoop/HIVE/SQL, and programming language such as Python/Pyspark.
Experience with building Machine learning pipelines in Spark, Python, HIVE or Scala, Airflow, github, MLflow that deploy AI models into production
Experience with delivering analytics solutions using any Machine Learning framework.
Experience or knowledge in data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree, Transformer model, and LLM etc
Experience with office tools excel, word, visualization and reporting tools, such as advanced user of PPT, Power BI, Tableau, open-source tool, or similar.
Exhibits intellectual curiosity and strives to continually learn.
Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.