Machine Learning Engineer

Strava is seeking a Machine Learning Engineer to join their AI and Machine Learning team. This role is responsible for building ML models that power key product experiences on the Strava platform, including personalization, recommendation, growth modeling, activity analysis, search, and other key components. The ideal candidate will work on all parts of the ML pipeline, from prototyping and building models to deploying them, building production data pipelines, writing server-side production code, and handling production dev ops.

Key responsibilities include:

• Working at the intersection of AI and fitness to build product experiences for millions of active users worldwide
• Spearheading key ML-powered projects end-to-end, from initial model prototyping to shipping production code
• Contributing to a highly collaborative team with diverse experience levels
• Exploring Strava's extensive dataset to find novel ML-based approaches

The ideal candidate should have:

• Experience building, shipping, and supporting ML models in production at scale
• Skills in exploratory data analysis and model prototyping using Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Sagemaker
• Experience with big data technologies (Spark, Hadoop, EMR, SQL, Snowflake)
• Knowledge of ML model operational best practices
• Experience building backend cloud-based services in production environments

This is a hybrid role based in the San Francisco office. Strava offers a collaborative and inclusive work environment, committed to fostering diversity and providing equal opportunities. They provide comprehensive benefits and are backed by Sequoia Capital, Madrone Partners, and Jackson Square Ventures.

Join Strava to be part of a passionate team striving to connect athletes to what motivates them and help them find their personal best!