Software Engineering Intern

About the Role/Team:

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.

At WEX, we empower diverse customer businesses with cutting-edge solutions. The data generated from our sophisticated products and platforms is rich, complex, and one of our most valuable assets. Coupled with rapidly evolving AI technologies, this data unlocks unparalleled opportunities to revolutionize our products, elevate customer experiences, and enhance operational efficiency.

Why WEX:

• Real-world impact: Make a tangible difference by contributing to projects that directly impact WEX's business and customers.

• Mentorship and guidance: Learn from experienced professionals and receive valuable feedback on your work.

• Cutting-edge technology: Work with the latest tools and technologies in the field of AI/ML.

• Collaborative environment: Be part of a dynamic and supportive team that values innovation and collaboration.

• Career Growth: Develop into a strong engineer career solving impactful, high-stakes challenges that will accelerate your technical and professional growth.

WEX is 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 in the FinTech industry, working alongside experienced engineers and researchers to solve real-world challenges. You will gain valuable experience in developing and deploying AI/ML models, working with big data technologies, and contributing to a dynamic and innovative team.

Our Summer Internship Program puts you in the heart of one of the most strategic Fin-Tech companies in the world. You will partner with multiple team members, collaborate with different departments, focus on specific projects, which you will support and even lead. Your expertise will help solve problems that may not even exist today. Our guidance and education throughout this journey will help build your confidence, expand your professional experiences and help improve your leadership skills. Our Program runs for approximately 13 weeks from the end of May to mid-August. Internships are paid and available for those seeking remote, hybrid, and onsite opportunities.

WEX hires the brightest, most talented individuals into our program. Many of our interns end up securing full-time positions or receive extended internship opportunities within the company after completing their initial program. If you perform well and align with our values, you might have the chance to kickstart your career with us.

If you aspire to become a standout engineer and make a difference while advancing your career, this is the opportunity for you! Come build the future with DART at WEX.

How you’ll make an impact:

• Contribute to impactful projects: Work on challenging projects that leverage AI/ML to address critical business needs in areas like fraud prevention, credit risk assessment, and data-driven decision making.

• Data Transformation: Develop advanced platforms and tools to process, enrich, and optimize core company data, ensuring it’s easy and efficient to use—unlocking value for both customers and internal teams.

• Develop and deploy AI/ML models: Design, implement, and evaluate machine learning models, applying advanced techniques to solve complex problems in a fast-paced tech landscape.

• 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, overcome technical challenges, and contribute to innovative projects.

• Present your work: Share your research findings and project outcomes with the team and stakeholders.

Experience you’ll bring:

• Educational Foundation: Currently pursuing an undergraduate degree in Computer Science, Machine Learning, or a related field.