Senior Applied Machine Learning Engineer Job at Strava (Berlin)

Senior Applied Machine Learning Engineer

Strava

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

140000.00 - 150000.00 EUR / Year

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Job Description:

We are looking for a Senior Applied Machine Learning Engineer to join the Live team at Strava, and applying machine learning models, algorithms and Gen AI solutions in geospatial, mapping and recording space to enable Strava users to explore their world as part of their fitness journey. This role will also collaborate deeply with our core ML team and ML Platform team in San Francisco to improve how we build ML across product surfaces. This is an important role as it will be starting the AI/ML presence in Berlin. This role will entail designing, roadmapping, and implementing and integrating innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We value ML engineers who are excited to collaborate with server and client engineers to bring ML experiences to product surfaces for customer impact.

Job Responsibility:

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

Requirements:

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

Nice to have:

Have experience with geospatial data or specifically geospatial ML

What we offer:

Offers Equity

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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