Machine Learning Engineering Intern at Strava

About This Role

Strava is the leading social platform for athletes and the largest sports community in the world, with over 93 million athletes in 195 countries. If you sweat you’re an athlete, and Strava’s mobile apps and website connect millions of active people every day!

We are looking for a machine learning engineer intern to help build the personalization experience of Strava. If you are excited by ML and want to spend a summer building features that millions of strivers will use, please consider applying!

You’re excited about this opportunity because you will:

Build the next generation of the Strava personalization experience alongside expert mentors and a team of passionate and talented engineers.
Collaborate with our internal partners in product, engineering, and analytics.
The scope includes prototyping, feature pipelines, model training, and analysis.

You will be successful here by:

Applying a disciplined approach to testing your code and result.
Being humble and empathetic with a willingness to learn and adapt fast.
Communicating accurately and concisely.
Embracing the work autonomy and end-to-end tech stack.
Learning and approaching novel problems with an open mind.

We’re excited about you because you have experience [in/with]

ML problems, especially in the following domains: Deep Learning, Large-Scale Data Mining.
Popular ML frameworks (Xgboost, TensorFlow, PyTorch, SKLearn, etc).
At least one modern programming language, such as Python, Java, Scala, etc.
Analytical languages (SQL, Python, R, etc).
Data pipelines (Spark, Hadoop, etc).
You are passionate about Strava!

Eligibility:

The role is open to both

2023 grads in Computer Science or related fields. Open both to undergraduate and graduate school students.
Early career engineers in Computer Science or related fields

About StravaStrava is Swedish for “strive,” which epitomizes who we are and what we do. We’re a passionate and committed team, unified by our mission to connect athletes to what motivates them and help them find their personal best. With billions of activity uploads from all over the world, we have a humbling and adventurous vision: to be the record of the world’s athletic activities and the technology that makes every effort count.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, 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 diverse teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.In light of the global pandemic, Strava is currently working in a fully remote capacity. As always, we remain committed to fully supporting our employees, especially their mental health and wellbeing, through these challenging times. Despite challenges in the world around us, we are continuing to grow camaraderie and positivity within our culture, and we are unified in our commitment to becoming an antiracist company. We are differentiated by our truly people-first approach, our compassionate leadership, and our belief that we can bring joy and inspiration to athletes’ lives — now more than ever. All to say, it’s a great time to join Strava!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.

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Machine Learning Engineering Intern

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