Sr. Applied Machine Learning Engineer
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The role
You will join the Live team to apply ML in geospatial, mapping, and recording to empower users exploring their world on their fitness journey.
Own end-to-end AI systems from prototype to production, including deployment, scaling, and efficient inference.
Collaborate across product, design, client and server engineers to deliver ML experiences anchored in the user experience.
Develop novel AI methods for mapping, routing, search, and discovery using large-scale geospatial datasets.
Build from a rich dataset of fitness and geo data to extract actionable insights, inform decisions, and optimize features.
Drive product-focused ML innovation with best practices for model development, monitoring, retraining, logging and A/B testing in a hybrid Berlin environment.
Own end-to-end AI systems from prototype to production, including deployment, scaling, and efficient inference.
Collaborate across product, design, client and server engineers to deliver ML experiences anchored in the user experience.
Develop novel AI methods for mapping, routing, search, and discovery using large-scale geospatial datasets.
Build from a rich dataset of fitness and geo data to extract actionable insights, inform decisions, and optimize features.
Drive product-focused ML innovation with best practices for model development, monitoring, retraining, logging and A/B testing in a hybrid Berlin environment.
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