About This Role

Strava is the leading social platform for athletes and the largest sports community in the world, with over 95 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 machine learning engineers to help us unlock the potential of the unique data from Strava, from our athlete community.

As a Senior Machine Learning Engineer at Strava, you will work on a wide variety of projects that may require different technologies. You’ll work closely with vertical teams (server/web/mobile engineers, product management, data analysts, user research, etc) to scope, design, and build complex ML systems that power innovative athlete experiences. You’ll work with your teammates and platform teams on ML tooling and infrastructure in order to scale. Your projects will be a healthy mix of product features and infrastructure work.

You’re excited about this opportunity because you will:

• Design, build, support, and integrate ML applications that have direct impacts on the athletes' experience and the company's growth.

• Work in a relatively small team where you initiate and drive the entire project from scratch leveraging your industry experience

• Foster team’s culture and best practices

You will be successful here by:

• Willing to learn and adapt fast; mindset of being full-stack ML engineers where the work scope expands from data exploration to server/mobile integration; being comfortable stretching out technical scopes, even a bit outside of the ML domain.

• Learning and approaching novel problems with an open mind

• Taking ownership of your work, partnering with cross-functional peers to ensure projects are properly scoped and implemented.

• Demonstrating empathy for athletes and their experience while using Strava.

• Mentoring other engineers and up-leveling the organization

Some of our Technical Expectations

• Extensive industry experience working with complex and large-scale ML systems

• Experience working with some of the popular ML frameworks (Xgboost, TensorFlow, PyTorch, sklearn, etc)

• Experience working with analytical languages (SQL, Python, R, etc)

• Experience with at least one modern programming language, such as Python, Java, Scala, etc

• Experience working with data pipelines (Spark, Hadoop, etc)

• Bonus point if you have worked in one of the domains: recommendation systems, personalization, ML infrastructure (MLOps, scalable platform, etc)

About Strava

Strava 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. And with billions of activity uploads from all over the world, we have a humbling and audacious 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. And 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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