[Hiring] PhD Intern - AI/ML/NLP Engineer @WEX

Role Description

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.

Qualifications

• 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 Generative AI (e.g., publications, conference papers, or significant project work).
• Strong programming skills in at least one of our core languages: Python, Java, C#, or GoLang.
• Deep understanding of modern ML algorithms, platforms, and packages (including deep learning and LLMs).
• Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference, maximum likelihood estimation).
• A collaborative mindset and strong communication skills, with an ability to translate complex research into practical applications.
• Evidence of innovative problem-solving and a drive to learn and excel.

Requirements

• Experience with cloud platforms (e.g., AWS).
• Familiarity with software development best practices (SDLC), CI/CD tools, and IaC (e.g., Terraform).
• Familiarity with container orchestration (e.g., Kubernetes).
• Experience or interest in the financial technology (FinTech) industry.

Benefits

• Health, dental and vision insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• Comprehensive and market competitive benefits designed to support your personal and professional well-being.