Software Development Trainee

Overview

A 13-week paid summer internship on the Data, AI, and Risk Technology (DART) team, working on AI/ML applications, an agentic AI platform, big data, and fraud and credit risk technologies in FinTech.

What you'll do

• Work on challenging projects that leverage AI/ML to address critical business needs in areas such as fraud prevention, credit risk assessment, and data-driven real time decision making.
• Help develop and enhance the agentic AI platform, building intelligent agents that automate workflows, assist decision-making, and solve real-world problems across engineering, product, operations, and customer experiences.
• Develop advanced platforms and tools to process, enrich, and optimize core company data, ensuring it's easy and efficient to use.
• Design, implement, and evaluate machine learning models, applying advanced techniques to solve complex problems.
• Gain experience with big data tools and technologies, including data ingestion, processing, and analysis.
• Partner with experienced engineers and researchers to brainstorm solutions, overcome technical challenges, and contribute to innovative projects.
• Share research findings and project outcomes with the team and stakeholders.

What you'll need

• Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field.
• Will have completed at least your Sophomore year of school at the start of the internship.
• Proficient in coding (Python, Java, Go, etc), automated testing, and system monitoring.
• Solid understanding of machine learning algorithms, techniques, and best practices.
• Experience working with data, including data analysis, manipulation, and visualization.

Nice to have

• 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, and related tools.
• A strong desire to solve customer and business problems through thoughtful and effective solutions.
• Desire to learn robust design solutions for small to medium-scale problems or system components.
• Excellent communication skills and ability to clearly communicate technical ideas and collaborate effectively with team members.
• Highly motivated, curious, and eager to explore new technologies, including proactively utilizing GenAI tools to streamline workflows.
• Enthusiasm for working with big data technologies, AI/ML, risk engineering, and cloud infrastructure.

Details

• Paid 13-week internship running from late May to mid-August.
• Remote, hybrid, and onsite options are available.