Summer AI/ML Data Intern

Feedinkoo: Remote Jobs; United States; Hybrid; USD 28,000 - 41,000; Full time

Job summary

WEX Inc. invites motivated graduates to join the Data, AI, and Risk Technology (DART) team as a Summer Intern.

You will work on AI/ML applications, big data, fraud and credit risk technologies alongside experienced engineers and researchers to tackle real-world challenges. You will gain hands‑on experience in developing AI/ML models, data processing, and deploying solutions while collaborating with a dynamic team.

Qualifications

• Currently pursuing a Master’s degree in Computer Science, Machine Learning, Software Engineering, or related field and have completed at least sophomore year.
• Strong programming skills in Python, Java, Go, automated testing, and system monitoring.
• Data-driven mindset with data analysis, manipulation and visualization experience.
• Interest in robust design solutions for small to medium-scale problems or components.
• Solid understanding of machine learning algorithms and AI/ML best practices.
• Excellent communication and collaboration skills; self-driven learner.
• Passion for innovation and cloud technologies including big data, AI/ML, risk analysis, and cloud infra.

Responsibilities

• Contribute to impactful projects addressing fraud, risk, and data-driven decisions.
• Design and implement moderately complex data ingestion pipelines.
• Contribute to batch and streaming ingestion with scalable architectures.
• Work with big data tools for ingestion, processing and analysis.
• Collaborate with engineers and researchers to brainstorm solutions.
• Present research findings and project outcomes to team members.

Skills

Python

Java

Go

Automated testing

System monitoring

Data analysis

Data visualization

Education

Master’s degree in Computer Science

Tools

AWS

Azure

GCP

SQL

Job description

WEX Inc. invites motivated graduates to join the Data, AI, and Risk Technology (DART) team as a Summer Intern.

You will work on AI/ML applications, big data, fraud and credit risk technologies alongside experienced engineers and researchers to tackle real-world challenges. You will gain hands‑on experience in developing AI/ML models, data processing, and deploying solutions while collaborating with a dynamic team.