About this role
Relay is building smart radios and a connected cloud ecosystem that combine voice and artificial intelligence to support frontline workers. The engineering team focuses on developing tools that capture tribal knowledge, turning spoken conversations into actionable intelligence and structured data for operators, builders, and caregivers.
Summer interns join the engineering group to collaborate on core product features, developer enablement tools, and AI-driven workflows. Participants own a complete project from initial kickoff to a final company-wide presentation, receiving mentorship and regular exposure to executive leadership.
Ideal candidates are ambitious undergraduate or graduate students enrolled in technical fields who bring foundational development experience and strong machine learning knowledge. Individuals who thrive in collaborative environments, demonstrate curiosity, and care deeply about product quality will succeed during this immersive summer experience.
What you will do
- Collaborate closely with engineers to build product functionality, create developer enablement tools, and resolve technical issues.
- Evaluate requirements to determine technical feasibility, draft proposed architectures, assess risks, and estimate project effort.
- Engage in Agile software development workflows to write code and ship features directly into production environments.
- Write automated tests to monitor and maintain system quality, reliability, and overall performance.
- Investigate and share software development best practices, including techniques for artificial intelligence and machine learning applications.
- Design, train, and evaluate supervised, unsupervised, and deep learning models alongside the engineering team.
- Prepare and preprocess datasets by handling data cleaning, feature engineering, and data augmentation to streamline model training.
- Integrate machine learning models into production systems with a primary focus on scalability and reliability.
What you need
- Currently enrolled as an undergraduate or graduate student at a university located in Raleigh, Durham, or Chapel Hill.
- Expected graduation date in December 2027 or Spring 2028 with a major in Computer Science, Machine Learning, or a related technical field.
- Maintains a cumulative GPA of 3.5 or higher.
- Possesses at least one year of prior development experience.
- Demonstrates strong machine learning capabilities covering model design, training harnesses, and inference optimization through projects, coursework, or past roles.
- Brings familiarity with Python and at least one machine learning framework such as PyTorch or JAX.
- Exhibits strong problem-solving abilities, communication skills, and the capacity to work collaboratively in a team environment.
Nice to have
- Experience with large language models
- Context management experience
- Applied AI and machine learning project experience
Benefits
- Paid summer internship
- Executive and senior leadership exposure through Q&A coffee chats and CEO breakfast sessions
- Structured learning sessions covering product strategy, financial modeling, sales craft, and interviewing skills
- Intern showcase presentation to the full company
- Raleigh HQ experience with team lunches, social events, and a volunteer Intern Impact day
- Potential consideration for full-time roles after graduation based on performance and business needs
Skills and tech stack
Questions candidates ask
What is the location and work policy for this internship?
Summer interns are expected to work full-time in-office during the summer in the headquarters located in Raleigh, North Carolina.
What compensation is provided for the role?
This is a paid internship position during the summer of 2027.
What programming languages and tools does the team use?
The team uses a diverse set of languages including Python, Erlang, Elixir, Rust, and Javascript within Linux-based systems.
What are the eligibility requirements regarding university location and graduation dates?
Candidates must be undergraduate or graduate students at a university in Raleigh, Durham, or Chapel Hill with an expected graduation date of December 2027 or Spring 2028.
Is there a possibility for full-time employment after the internship ends?
High-performing interns may be considered for full-time roles after graduation, depending on business needs.