Relay Launchpad Intern - Software Engineer (AI/ML)

Relay•Raleigh, NC

6d•Onsite

About The Position

This internship offers a chance to build technology that matters—products that directly empower frontline workers. You’ll collaborate with engineers in a high-growth environment, helping to develop tools that turn voice into structured data, integrate AI into workflows, and make communication instantly actionable. Interns will gain hands-on experience across the engineering stack, from core product functionality to tools that accelerate development to AI-powered experiences that put intelligence directly into the hands (and voices) of frontline teams. Summer interns are expected to work full-time in-office during the summer in our amenity rich, world class headquarters in Raleigh, NC. We use a diverse set of languages, including Python, Erlang, Elixir, Rust, and Javascript. Our systems are generally Linux-based. Our culture is based on Impact, Team, and Learning.

Requirements

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).

Nice To Haves

experience with LLMs, context management, or applied AI/ML projects.

Responsibilities

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.