Applied Machine Learning Engineer
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The role
As an Applied ML Engineer on the Live geospatial team, you will shape ML-driven experiences in mapping, routing, and search to empower athletes' journeys.
Own end-to-end AI systems, from prototyping models to production deployment, focusing on scalable inference and reliable performance.
Collaborate with product, design, client and server engineers to deliver ML features that impact tens of millions of users.
Develop novel models and methodologies that leverage rich fitness and geo datasets to extract actionable insights and inform product decisions.
Advance ML practices with automated retraining, monitoring, feature logging, and A/B testing to ensure operational excellence.
Operate in a hybrid Berlin setup, balancing on-site collaboration with remote work while prioritizing an exceptional user experience.
Own end-to-end AI systems, from prototyping models to production deployment, focusing on scalable inference and reliable performance.
Collaborate with product, design, client and server engineers to deliver ML features that impact tens of millions of users.
Develop novel models and methodologies that leverage rich fitness and geo datasets to extract actionable insights and inform product decisions.
Advance ML practices with automated retraining, monitoring, feature logging, and A/B testing to ensure operational excellence.
Operate in a hybrid Berlin setup, balancing on-site collaboration with remote work while prioritizing an exceptional user experience.
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