Amazon Sr Applied Scientist Fire TV Science 

United States, California, Sunnyvale 

338299792

Key job responsibilities
- Drive new initiatives applying Machine Learning techniques to improve our recommendation, search and entity matching algorithms
- Work closely with product managers and software engineers to design experiments and implement end-to-end solutions
- Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them- Help attract and recruit technical talent; mentor junior scientists

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with Deep Learning for search and recommendation systems
- Experience with NLP and LLM algorithms and tools a plus
- Experience performing and interpreting A/B experiments
- Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams