5 months ago
Base Salary
$198k - $222k/yr
Responsibilities
- Build and optimize machine learning product experiences for Strava athletes worldwide.
- Own ML projects end-to-end from model prototyping through production deployment, inference scaling, and optimization.
- Design and develop models and methodologies for recommendation systems, activity prediction, and personalized insights.
- Use large-scale fitness and geographic datasets to extract insights, inform product decisions, and optimize features.
- Collaborate with product managers, data scientists, engineers, and cross-functional product teams to identify opportunities and deliver ML solutions.
- Improve ML platform capabilities, model development practices, deployment processes, monitoring, retraining, and maintenance.
- Advocate for innovative AI techniques and help establish the technical direction and operational standards for ML at Strava.
Requirements
- Experience working on numerous machine learning problems and breaking them into incremental tasks.
- Experience building, shipping, and supporting machine learning models in production at scale.
- Experience with exploratory data analysis and model prototyping using Python or R and tools including scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, and SageMaker.
- Experience building data pipelines with large-scale data technologies such as Spark, Hadoop, EMR, SQL, and Snowflake.
- Experience with production ML model operational excellence, including automated retraining, performance monitoring, feature logging, and A/B testing.
- Experience building backend production services on cloud environments such as AWS using Python, Ruby, Java, Scala, or Go.
- Strong interpersonal and communication skills and a collaborative approach to driving business impact across teams.
- Interest in staying current with machine learning and AI research and contributing to model development, deployment, and maintenance best practices.
Benefits
- Flexible hybrid work model requiring more than half of the time onsite at the San Francisco office, including three days per week onsite.
- Benefits information is provided via an external document.
Tech Stack
Categories
About Strava
Strava is Swedish for “strive,” which epitomizes who we are and what we do. We’re a passionate and committed team, unified by our mission to connect athletes to what motivates them and help them find their personal best. And with billions of activity uploads from all over the world, we have a humbling and audacious vision: to be the record of the world’s athletic activities and the technology that makes every effort count.