PhD Intern - AI/ML/NLP Engineer
Company: WEX
Location: Maine (Remote)
Type: Full-time
Level: mid
Remote: Yes
Posted: 2026-03-04
About this role
About The Team
We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions. We are building groundbreaking products that benefit our customers and help them grow their businesses. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.
How You'll Make An Impact
As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world problems. You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value.
This Is a Project-based Internship. You Will Be Paired With a Dedicated Mentor And Given a High-impact Project To Own, From Research And Design Through To a Functional Prototype; You'll
- Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.
- Apply your research skills to design, code, and test novel AI/ML solutions.
- Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.
- Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.
- Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).
- Present your findings and project outcomes to the team and key stakeholders at the end of your internship.
Experience You'll Bring
- Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Demonstrated research experience in AI, Machine Learning, Deep Learning, or Gene...