Software Engineering Intern, AI

Strava•San Francisco, CA

11d•Hybrid

About The Position

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! 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.

Requirements

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.

Responsibilities

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