PhD Intern – AI/ML/NLP Engineer

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🔥 12 hours ago

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Logo of WEX

WEX

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

Transport • Finance • Fintech

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• Apply your deep technical expertise to solve complex, real-world problems. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement

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