Applied Machine Learning Engineer
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The role
As an Applied Machine Learning Engineer on the Live team, you will design and deploy ML models for geospatial, mapping, and recording features.
Own end-to-end AI systems from prototyping to production, including scaling inference and deployment.
Collaborate with product, design, client, and server engineers to ship ML-powered user experiences.
Invent and adapt models for mapping, routing, and search using large, unique fitness datasets.
Implement ML Ops practices such as automated retraining, monitoring, feature logging, and A/B testing.
Contribute to a collaborative, inclusive culture while staying current with research and delivering measurable product impact.
Own end-to-end AI systems from prototyping to production, including scaling inference and deployment.
Collaborate with product, design, client, and server engineers to ship ML-powered user experiences.
Invent and adapt models for mapping, routing, and search using large, unique fitness datasets.
Implement ML Ops practices such as automated retraining, monitoring, feature logging, and A/B testing.
Contribute to a collaborative, inclusive culture while staying current with research and delivering measurable product impact.
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