AI/ML Summer Intern

WEX is a global commerce platform simplifying business operations for over 40 years. With a team of over 7,200 professionals across 16 countries, WEX specializes in employee benefits, business payments, and fleet/mobility solutions, supporting over 20 million SaaS accounts, 8 million Health Savings Accounts, and 19+ million vehicles worldwide.

The WEX Summer Internship Program

Our 13-week paid internship program, running from late May to mid-August, offers real-world experience and skill development. You'll contribute to impactful projects, receive mentorship, professional development, and weekly learning experiences. High-performing interns may lead their own initiatives. We offer remote, hybrid, and onsite options, with the goal of bringing top interns back full-time or offering extended roles.

About the Role

We are seeking a highly motivated and talented undergraduate student in Computer Science or a related field to join our Data, AI, and Risk Technology (DART) team as a Summer Intern. This is a unique opportunity to contribute to cutting-edge AI/ML applications, our next-generation agentic AI platform, Big Data, fraud, and credit risk technologies in the FinTech industry. You will work alongside experienced engineers and researchers to solve real-world challenges, gaining valuable experience building AI agents, developing and deploying AI/ML models, and working with big data and risk technologies.

Responsibilities

• Contribute to impactful projects: Work on challenging projects leveraging AI/ML to address critical business needs in fraud prevention, credit risk assessment, and data-driven real-time decision making.
• Build agentic AI solutions: Help develop and enhance our agentic AI platform, building intelligent agents that automate workflows and assist decision-making across engineering, product, operations, and customer experiences.
• Data Transformation: Develop advanced platforms and tools to process, enrich, and optimize core company data, ensuring efficiency and unlocking value.
• Develop and deploy AI/ML models: Design, implement, and evaluate machine learning models, applying advanced techniques to solve complex problems.
• Work with big data technologies: Gain experience with big data tools and technologies, including data ingestion, processing, and analysis.
• Collaborate with experts: Partner with experienced engineers and researchers to brainstorm solutions and overcome technical challenges.
• Present your work: Share your research findings and project outcomes with the team and stakeholders.

Requirements

• Educational Foundation: Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or a related field, and will have completed at least your Sophomore year of school at the start of the internship.
• Strong Programming Skills: Proficient in coding (Python, Java, Go, etc.), automated testing, and system monitoring.
• AI/ML Expertise: Solid understanding of machine learning algorithms, techniques, and best practices.
• Data-driven mindset: Experience working with data, including data analysis, manipulation, and visualization.

Preferred Skills

• Experience with cloud computing platforms (AWS, Azure, GCP).
• Familiarity with DevOps practices and tools.
• Contributions to open-source projects or publications in relevant conferences.
• Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools.
• Customer-Centric: A strong desire to solve customer and business problems.
• Solution-Oriented: Desire to learn robust design solutions for small to medium-scale problems or system components.
• Excellent communication skills: Ability to clearly communicate technical ideas and collaborate effectively.
• Self-Driven Learner: Highly motivated, curious, and eager to explore new technologies, proactively utilizing GenAI tools to streamline workflows.
• Passion for Innovation: Enthusiasm for working with big data technologies, AI/ML, risk engineering, and cloud infrastructure.