Applied Machine Learning Engineer

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Applied Machine Learning Engineer

role at

Strava .

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Base pay range Compensation Range: €95K - €105K

What You’ll Do

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

Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment

Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.

Integrate and Collaborate with Product, Design, Client and Server engineers: Be excited about the impact and build Applied ML solutions anchored on the user experience

Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including mapping, routing, search and more.

Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features

You Will Be Successful Here By

Driving innovation with Product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate and get buy-in for innovative techniques to improve existing products or explore new features that result in step function changes to how we build AI at Strava.

Leading as an Owner: Owning your work end-to-end and being accountable for the outcomes in the projects you drive and landing impact for the business. Ensure the end to end system delivers as expected through collaboration with partners.

Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.

Collaborating in and across teams: Build relationships, advocate and communicate with cross-functional partners and product vertical to identify opportunities and bring your technical vision to life.

Raising the ML standard: Help work towards best practices for model development, deployment, and maintenance.

Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values

What You’ll Bring to the Team

Have worked on numerous machine learning problems and broken them down into incremental tasks.

Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams.

Have experience building, shipping, and supporting ML models in production at scale

Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker

Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, Snowflake)

Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing

Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Scala, Go

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. We’re committed to unlocking their potential and providing a world-class, inclusive workplace where our employees can grow and thrive. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding to meet 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 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.

For more information on benefits, please click here.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Software Development

Additional opportunities: Referrals increase your chances of interviewing at Strava by 2x. Get notified about new Machine Learning Engineer jobs in Berlin, Berlin, Germany.

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