Software Engineering Intern (AI/ML) - Summer 2027 at Relay in Raleigh, NC

Job description

• We are looking for a motivated and ambitious undergraduate (or graduate) student expected to graduate in December 2027 or Spring 2028 to join our Engineering team for a paid Internship during the summer of 2027.
• High-performing interns may be considered for full-time roles after graduation, depending on business needs.
• 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.

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.

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).
• Desired, but not required: experience with LLMs, context management, or applied AI/ML projects.

Skills

Required

• Strong machine learning skills
• Designing new ML models
• Implementing training harnesses
• Optimizing inference engines
• Python
• Collaborative team environment
• Empathy for colleagues
• Strong communication
• Problem-solving
• Eager to learn and grow
• Adaptable to change
• Motivated to contribute independently

Preferred

• Experience with LLMs
• Context management
• Applied AI/ML projects

Benefits

• Executive and senior leadership team exposure - regular touchpoints with Relay's leadership team, including Q&A coffee chats, Breakfast with the CEO, and working sessions.
• Cross-functional cohort - work alongside interns across every part of the business, not just your team.
• Structured learning - regular skill-building sessions covering topics from product strategy to financial modeling to sales craft to professional networking and interviewing skills.
• Real ownership - you'll own a project from kickoff to final presentation, with mentors and fellow Relayers who are invested in your success.
• Intern showcase - present your work to the full company at the end of the summer
• Raleigh HQ experience - team lunches, volunteer Intern Impact day, social events, and a chance to see how a scaling tech company operates up close!
• Take a look at our website at relaypro.com