Machine Learning Engineer II
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Le poste
Build cutting-edge machine learning models to personalize user experiences across product surfaces.
Collaborate with cross-functional teams to experiment, evaluate, and improve ML models for ranking, search, and recommendations.
Design and maintain end-to-end data processing pipelines and large-scale ML systems using big data technologies.
Leverage real-time streaming data and scalable architectures to power live recommendations.
Conduct rapid experiments (A/B tests) and apply best practices from the latest trends in recommendation systems.
Communicate findings clearly and contribute to a fast-paced, impact-driven environment.
Collaborate with cross-functional teams to experiment, evaluate, and improve ML models for ranking, search, and recommendations.
Design and maintain end-to-end data processing pipelines and large-scale ML systems using big data technologies.
Leverage real-time streaming data and scalable architectures to power live recommendations.
Conduct rapid experiments (A/B tests) and apply best practices from the latest trends in recommendation systems.
Communicate findings clearly and contribute to a fast-paced, impact-driven environment.
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