Software Engineering Intern, AI

About Strava

Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today.

Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.

As an Engineering Intern at Strava, you will be embedded in a team working on real projects that ship to our athletes and within the company, treated like a full-time member of the engineering team. You'll collaborate with cross functional teams that help us support and deliver to our athletes faster, while keeping them inspired and motivated.

We’ll give you experienced mentors and all the tools you need to make a meaningful impact on our product. To see examples of what past interns have contributed, read our Engineering Blog!

Available Internship:

Strava is looking for software engineering interns for a range of disciplines. The overall Machine Learning team is responsible for sophisticated machine learning models and systems that power key Strava experiences which provide value to our athletes including personalization, recommendation, search, and trust and safety.
This internship will be supporting the platform focused pod of the team. This pod develops the platform that enables other engineers to ship GenAI and ML model powered features with minimal friction and maximum quality.

We follow a hybrid model that translates to more than half of your time on-site in our San Francisco office — four days per week.

What You’ll Do:

• Build upon a critical AI/ML platform: Tooling and systems that today supports numerous product features. They must function well with developer experience, growing scale, and desire for advancing capabilities in mind.

• Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide

• Innovate in AI for Fitness: Work on models and methodologies to take on novel problems that improve athlete experience in how they view their fitness.

• Learn from engineers across teams who hold deep curiosity for data and are passionate about building robust ml-back products.

• Gain hands-on experience with production ML systems at the global scale of Strava, supporting our users .

What You’ll Bring to the Team:

• You’re eager to build platform for ML and GenAI powered features – including development workflows, deployment paths, evaluation, and observability.

• You're eager to build ML-powered features end to end - from training, to data exploration, to integration to measuring real-world impact on Strava's product surfaces.

• You have hands-on experience with LLMs and tools like LangChain.

• You write clean, well-tested Python code and welcome feedback and mentorship as part of your growth.

• You have familiarity with exploratory data analysis and model prototyping using Python and tools like Scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, or SageMaker.

• You care about connecting ML work to real user value, not just modeling techniques.

• You bring curiosity, ask thoughtful questions, and contribute to a collaborative and inclusive team culture.

• Are currently pursuing a Bachelor’s degree in Computer Science or a related field, with an expected graduation date of May 2026, December 2026, or May 2027 — OR– have recently completed or are currently enrolled in a coding bootcamp, technical training program, or are transitioning into software engineering through equivalent practical experience.

The Summer Internship Program:

• The program will be in our San Francisco, CA office with a hybrid office attendance requirement of 4 days per week

• Housing Stipend for Summer is provided to live in SF for 3 months

• Length of program: 10-12 weeks (Summer 2026 roughly June through August).

• Working Hours: 40 hours per week

• This is a paid internship.

Why Join Us?

Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.

Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.

When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.

Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.