Relay Launchpad Intern - Software Engineer (AI/ML)

Job Overview

What You Will Do

• Work in close coordination with other engineers to contribute to product functionality, enablement tools, and issue resolution.
• Analyze requirements to determine feasibility, propose architectures, assess risk, and estimate effort.
• Participate in the team’s software development process and tooling, gaining real-world Agile experience and getting code into production.
• Develop automated tests to ensure quality, reliability, and performance.
• Research and share best practices in software development, including AI/ML applications, to continuously raise the bar for the team.
• Collaborate with engineers to identify opportunities for machine learning solutions and stay current on the latest AI/ML advancements.
• Assist in designing, training, and evaluating machine learning models using techniques such as supervised, unsupervised, and deep learning.
• Help prepare and preprocess datasets—including data cleaning, feature engineering, and data augmentation—to improve the efficiency of model training.
• Work alongside the engineering team to integrate ML models into production systems, with a focus on scalability and reliability.
• What You Will Bring
• Undergraduate or graduate student at a university in Raleigh, Durham, or Chapel Hill with an expected graduation date of December 2027 or Spring 2028.
• Currently enrolled in Machine Learning, Computer Science, or a related technical field with a GPA of 3.5 or above.
• 1+ years of development experience.
• Strong machine learning skills, including designing new ML models, implementing training harnesses, and optimizing inference engines, through prior experience, coursework, or personal projects.
• Ability to thrive in a collaborative team environment and show empathy for colleagues.
• Strong communication and problem-solving skills.
• Commitment to tackling challenging problems with curiosity and initiative; eager to learn and grow.
• Care deeply about quality and customer experience, building elegant, simple, and valuable solutions.
• Adaptable to change and motivated to contribute independently when needed.
• Evaluate ideas based on merit and consistently seek to generate customer value.
• Some experience with Python and familiarity with a machine learning framework such as PyTorch or JAX (coursework and research experience counts).
• Desired, but not required: experience with LLMs, context management, or applied AI/ML projects.