Senior Machine Learning Engineer

📋 Description

• Build AI-powered experiences for Strava's consumer product used by millions
• Own end-to-end ML projects: prototyping to production deployment
• Shape AI at Strava: collaborate across teams to deploy ML solutions
• Innovate in AI for fitness: new models for recommendations and insights
• Build from rich datasets: use Strava data to inform decisions

🎯 Requirements

• Worked on ML problems; broken into incremental tasks
• Strong communication and cross-team collaboration
• Built, shipped, and supported ML models in production at scale
• Experience with Python or R; Scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, Sagemaker
• Built data pipelines with Spark, Hadoop, EMR, SQL, Snowflake
• Experience with ML Ops: retraining, monitoring, feature logging, A/B testing

🎁 Benefits

• Benefits information provided