Machine Learning Scientist (L4) - Content & Conversation Modeling
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El puesto
In our Content & Conversation Modeling team, we innovate on predictive models to inform content strategy, valuation, scheduling, and performance.
Own end-to-end ML lifecycle: ideation, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
Partner with product and analytics teams across regions to translate business questions into scalable ML solutions.
Develop modular, production-grade code with a focus on resilience and maintainability.
Influence data and ML infrastructure by collaborating with data engineering, ML Ops, and platform teams.
Demonstrate strong communication and the ability to navigate ambiguous problems while delivering actionable results.
Own end-to-end ML lifecycle: ideation, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
Partner with product and analytics teams across regions to translate business questions into scalable ML solutions.
Develop modular, production-grade code with a focus on resilience and maintainability.
Influence data and ML infrastructure by collaborating with data engineering, ML Ops, and platform teams.
Demonstrate strong communication and the ability to navigate ambiguous problems while delivering actionable results.
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