About the role#
We are looking for a motivated student to join our Data Acquisition Team. This team serves as the entry point to our Data-as-a-Service platform, where we ingest, validate, and orchestrate raw data from internal systems and third-party providers. You will work across various data domains and ingestion patterns, including batch, streaming, and event-driven architectures, ensuring that quality, performance, and governance remain at the forefront of our operations.
What you'll do#
- Contribute to projects that use AI and machine learning to address business needs like fraud prevention and credit risk assessment.
- Develop and enhance our agentic AI platform by building intelligent agents that automate workflows and assist in decision-making.
- Create tools to process, enrich, and optimize core company data.
- Design and implement AI-assisted workflows to optimize our production environment.
- Apply specification-driven development and declarative system design to build scalable, model-driven solutions.
- Gain experience with big data technologies, including data ingestion, processing, and analysis.
- Partner with engineers and researchers to brainstorm solutions and solve technical challenges.
- Present research findings and project outcomes to the team and stakeholders.
What you'll need#
- Currently pursuing a Master’s degree in Computer Science, Machine Learning, Software Engineering, or a related field.
- Programming experience, including the ability to write, test, debug, and troubleshoot code.
- Hands-on experience developing software through internships, academic coursework, research, or personal projects.
- Proficiency in at least one programming language such as Java, Python, C++, C#, or JavaScript.
- Ability to apply programming concepts to develop effective and maintainable solutions.
- Experience working with data, including analysis, manipulation, or visualization.
- Familiarity with cloud platforms like AWS, Azure, or GCP and core DevOps practices.
- Exposure to data processing, including SQL, ELT, and data warehousing, along with foundational AI and machine learning concepts.
- Interest in Spec-Driven Development and using AI assistants to write structured code.
- A solution-oriented mindset with a desire to master scalable system design.
- Ability to articulate technical ideas clearly and work effectively within a team.
- A customer-focused approach to turning business problems into software solutions.
- Prior contributions to open-source projects or academic publications are a plus.
Location & details#
- Term: Summer 2027
- Employment: Full time
- Modality: Remote, on-site, or hybrid options available
- Compensation: This is a paid position
About WEX
WEX is a public company founded in 1983 that provides a global commerce platform. It focuses on payment solutions for fleet, travel, and healthcare industries. The company employs over 5,000 people and maintains its headquarters in Portland, Maine. Its services include corporate payment technology and benefits administration.
How to get in at WEX
Applying early is your best strategy for a WEX internship because recruiters review applications as they arrive. Intern Insider sends you an instant alert the moment a role matching your target is published, so you can apply before the pile grows and your resume gets lost in the shuffle. It is a simple way to stay ahead of the competition during a busy recruiting season. You can also improve your response rates by reaching out to the recruiters behind the company roles directly. Intern Insider surfaces the specific people managing these openings, allowing you to ask thoughtful questions or request a referral. Connecting with a human being often makes the difference between a generic application and a serious conversation.
