Senior Applied Machine Learning Engineer
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Bewerbungen unterwegs verfolgen Die kostenlose Whileresume-App für iPhone und Android.
Die Stelle
This role is for a Senior Applied ML Engineer to drive end-to-end ML systems in geospatial, mapping, and recording spaces to enhance fitness experiences.
Own end-to-end AI systems—from prototyping to production deployment, scalable inference, and ongoing maintenance.
Collaborate across product, design, client and server engineering to deploy ML solutions that impact users.
Innovate in AI for fitness by designing novel models for mapping, routing, search, and related features.
Build from rich geospatial and activity datasets using Python/R, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy; develop data pipelines with Spark, Hadoop, EMR, SQL, Snowflake; and run on SageMaker.
Hybrid work in Berlin with three on-site days per week; own outcomes, raise ML standards, and collaborate to deliver user-centered ML products.
Own end-to-end AI systems—from prototyping to production deployment, scalable inference, and ongoing maintenance.
Collaborate across product, design, client and server engineering to deploy ML solutions that impact users.
Innovate in AI for fitness by designing novel models for mapping, routing, search, and related features.
Build from rich geospatial and activity datasets using Python/R, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy; develop data pipelines with Spark, Hadoop, EMR, SQL, Snowflake; and run on SageMaker.
Hybrid work in Berlin with three on-site days per week; own outcomes, raise ML standards, and collaborate to deliver user-centered ML products.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
oder
Bereits ein Konto?
AnmeldenDiese Stellen könnten Sie interessieren
Noch keine wirklich ähnliche Stelle — hier die neuesten.