Senior Machine Learning Engineer

Join Strava, a leading fitness app, as a Senior Machine Learning Engineer. In this role, you will be part of the AI and Machine Learning team, responsible for developing sophisticated machine learning models and systems that enhance the experience of Strava athletes. You will work on all aspects of the ML pipeline, from model building to deployment, and have the opportunity to innovate in AI for fitness.

• Concevoir, développer et mettre en œuvre des modèles et des méthodologies innovants pour résoudre des problèmes nouveaux et améliorer l'expérience des athlètes.
• Diriger des projets clés alimentés par l'apprentissage automatique sur la plateforme Strava de bout en bout, de la prototypage initiale du modèle à la mise en production.
• Collaborer avec des partenaires interfonctionnels et des verticales de produits pour identifier des opportunités et concrétiser votre vision technique.
• Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, and Snowflake)
• Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams
• Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, and Go
• 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, and Sagemaker
• Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, and A/B testing
• Have worked on numerous machine learning problems and broken them down into incremental tasks