Amazon Applied Scientist Fire TV Science 

United States, California, Sunnyvale 

857936258

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 models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- At least 2 years applying Machine Learning techniques to solve complex scientific problems
- At least 2 years of experience with a statistical modeling tools
- At least 1 years of experience with Big Data SQL (such as Spark)
- At least 1 years of experience with scripting languages like Python

- Experience in professional software development
- Ph.D. in Computer Science, Computational Mathematics, Statistics, or related field
- Expertise on a broad set of ML approaches and techniques including Deep Learning
- Track record of applying theoretical models in an applied environment
- Experience with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet
- Experience with Deep Learning for search and recommendation
- Experience with NLP algorithms and tools a plus
- Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams
- Experience performing and interpreting A/B experiments a plus