AI & Data Platform Engineering Intern – Undergraduate

🔥 12 hours ago

🇺🇸 United States – Remote

👨‍🎓 Internship

⚪️ Entry-level

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏥 Healthcare

📦 Logistics

✈️ Travel

💰 $310M Post-IPO Debt on 2020-06

Healthcare • Logistics • Travel

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

• Contribute to AI/ML projects for fraud prevention, credit risk, and data-driven decision-making • Build semantic models and reusable data assets • Develop data platforms, SQL queries, ingestion and transformation pipelines, microservices, and DAGs • Design and implement AI-assisted workflows and scalable model-driven solutions • Prototype AI solutions, automated scripts, agentic workflows, and LLM implementations • Implement data-quality checks, monitoring, alerting, and observability • Improve platform reliability, reusable frameworks, automated testing, and CI/CD • Build integrations between data and AI tools and enterprise systems • Participate in design reviews, code reviews, architecture documentation, testing, and production-readiness activities • Support business stakeholders with technical enablement, documentation, and workflow integration • Research emerging AI tools, libraries, GenAI, agentic applications, and AI-assisted development tools • Collaborate with engineers, researchers, product managers, and stakeholders; present project outcomes and business impact

🎯 Requirements

• Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field • Completed at least sophomore year at the start of the internship • Proficiency in Python, Java, or Go • Object-Oriented Programming concepts • Scripting, automated testing, and system monitoring • Basic familiarity with Git/GitHub • Understanding of machine learning algorithms, techniques, and best practices, or strong academic interest in AI, ML, and NLP • Hands-on data analysis, manipulation, and visualization experience • Academic background or practical experience with SQL and relational databases • Strong analytical problem-solving skills • Excellent written and verbal communication skills • Curiosity, motivation, and willingness to learn new technologies and domains • Familiarity with GenAI-assisted development tools • Interest in big data, AI/ML, risk analysis, enterprise software engineering, system design, and cloud infrastructure • Preferred exposure to Airflow, dbt, PySpark, Spark, Snowflake, AWS, Azure, GCP, data quality, observability, monitoring, DevOps, CI/CD, APIs, event-driven systems, distributed systems, GenAI, agentic applications, semantic technologies, open source, or relevant projects

🏖️ Benefits

• 13-week paid internship program • Mentorship • Professional development • Weekly learning experiences • Remote, hybrid, and onsite options • Potential for full-time employment or extended school-year roles • Health, dental, and vision insurance • Retirement savings plan • Paid time off • Health savings account • Flexible spending accounts • Life insurance • Disability insurance • Tuition reimbursement • Quarterly or annual bonus eligibility for non-sales roles