Join Amazon as a Senior Applied Scientist to enhance the Fire TV user experience through innovative AI initiatives in search, recommendations, and machine learning. Collaborate with interdisciplinary teams to drive insights and improve customer engagement.
Key Responsibilities
Drive new AI initiatives focused on search systems, recommendations, and SLU
Perform hands-on data analysis and modeling with large data sets
Design and run A/B experiments and evaluate impact
Work closely with product managers and software engineers
Setup and monitor alarms for anomalous data patterns
Participate in the Amazon-wide Machine Learning Community
Attract and recruit technical talent; mentor junior scientists
Required Qualifications
PhD or Master's degree and 6+ years of applied research experience
3+ years of building machine learning models for business applications
Experience programming in Java, C++, Python or related languages
Experience with neural deep learning methods and machine learning
Preferred Qualifications
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Experience with large scale distributed systems such as Hadoop, Spark
Experience with Deep Learning for search and recommendation systems
Experience with NLP and LLM algorithms and tools
Experience performing and interpreting A/B experiments
Excellent verbal/written communication skills
Benefits & Perks
Full range of medical benefitsFinancial benefitsEquity and sign-on payments