Responsibilities

• Gain understanding of the customer lifecycle and develop models to optimize conversion KPIs.
• Build scalable data pipelines to ingest and enrich data from Retail, Prime Video, FireTV, Alexa+ and AppStore.
• Develop, test, deploy ML models in production with product and engineering partners.
• Drive innovation and align roadmaps with other science, engineering and PM leaders.
• Establish scalable processes for large-scale data analysis and model validation.

Requirements

• 5+ years of building machine learning models for business applications
• PhD, or Master’s + 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience in speech recognition, machine translation or NLP systems

Preferred

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, TensorFlow, NumPy
• Experience with large-scale distributed systems such as Hadoop, Spark

Benefits

• Amazon is an equal opportunity employer and does not discriminate on protected status. Benefits page.