Strava
A passionate and committed team, unified by our mission to build the most engaged community of athletes in the world.
201 - 500
Machine Learning Engineer
August 21
🏢 In-office - San Francisco
Strava
A passionate and committed team, unified by our mission to build the most engaged community of athletes in the world.
201 - 500
Description
• Strava is the leading digital community for active people, with more than 125 million athletes in more than 190 countries. • This role is on the AI and Machine Learning team, which is responsible for building ML models that power key product experiences on Strava. • The AI and ML team is hiring a full-stack ML engineer responsible for working on all parts of the ML pipeline. • This is a hybrid role based in our San Francisco office.
Requirements
• 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, Sagemaker • Have built and worked on data pipelines using big 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 • Have built backend cloud-based services in a production environment, using languages like (but not limited to) Ruby, Java, Scala, Python, Go, and tools like AWS
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