Software Engineer at WEX

Feedinkoo: Remote Jobs; United States; On-site; USD 37,195 - 48,216; Full time

Benefits offered by this job

Health, dental, vision insurance

Retirement savings plan

Paid time off

Tuition reimbursement

Job summary

Feedinkoo is seeking a Data, AI, and Risk Technology Summer Intern for a paid 13-week internship from late May to mid-August. This position provides a hands-on experience in the FinTech industry, focusing on AI/ML applications, big-data analytics, and fraud prevention.

Ideal candidates should be pursuing an undergraduate degree in Computer Science or a related field and possess strong programming skills, as well as a solid understanding of machine-learning algorithms. The internship offers a pay range of $27.00 to $35.00 per hour, along with numerous benefits including health insurance and paid time off.

Qualifications

• Currently pursuing an undergraduate degree in Computer Science, Machine Learning, or a related field.
• Strong programming skills – proficiency in Python, Java, Go, or other relevant languages.
• Solid understanding of machine‑learning algorithms and data analysis.

Responsibilities

• Work on AI/ML projects for fraud prevention and credit‑risk assessment.
• Develop advanced platforms and tools to process and optimize data.
• Design and evaluate machine‑learning models.

Skills

Programming skills in Python, Java, or Go

Understanding of machine‑learning algorithms

Experience with data analysis

Excellent communication skills

Curiosity about new technologies

Education

Undergraduate degree in Computer Science or related field

Tools

Cloud computing platforms (AWS, Azure, GCP)

SQL

Job description

Overview

The WEX Summer Internship Program offers a 13‑week paid internship from late May to mid‑August, designed to give students real‑world experience in the FinTech industry. Interns work on impactful projects and receive mentorship, professional development, and weekly learning experiences.

Role Summary

Position: Data, AI, and Risk Technology (DART) Summer Intern
Required Field: Computer Science, Machine Learning, or a related undergraduate program. Interns will contribute to AI/ML applications, big‑data analytics, fraud prevention, and credit‑risk technologies.

Responsibilities

• Work on AI/ML projects that address key business needs, such as fraud prevention, credit‑risk assessment, and data‑driven decision making.
• Develop advanced platforms and tools to process, enrich, and optimize core company data.
• Design, implement, and evaluate machine‑learning models, applying advanced techniques to solve complex problems.
• Gain experience with big‑data environments, including data ingestion, processing, and analysis.
• Collaborate with experienced engineers and researchers to brainstorm solutions and overcome technical challenges.
• Present research findings and project outcomes to team members and stakeholders.

Qualifications

• Currently pursuing an undergraduate degree in Computer Science, Machine Learning, or a related field.
• Strong programming skills – proficiency in Python, Java, Go, or other relevant languages, automated testing, and system monitoring.
• Solid understanding of machine‑learning algorithms, techniques, and best practices.
• Experience with data analysis, manipulation, and visualization.
• Solution‑oriented mindset for designing robust solutions for small‑to‑medium scale problems.
• Excellent communication skills and ability to collaborate effectively.
• Self‑driven, curious, eager to explore new technologies and apply them to enhance productivity.
• Passion for innovation, big‑data technologies, AI/ML, risk analysis, and cloud infrastructure.

Bonus Points

• Experience with cloud computing platforms (AWS, Azure, GCP).
• Familiarity with DevOps practices and tools.
• Contributions to open‑source projects or publications in relevant conferences.
• Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection.
• Customer‑centric orientation, solving customer and business problems through thoughtful solutions.

Compensation & Benefits

Pay Range: $27.00 – $35.00 per hour.

Benefits include: health, dental, vision insurance; retirement savings plan; paid time off; health savings account; flexible spending accounts; life insurance; disability insurance; tuition reimbursement; and more.

Eligibility & Application

The internship runs from May to August and recruiting begins in September and continues through December. Positions are available across the U.S. with remote, hybrid, or onsite options.