How often have you had an opportunity to be a founding member of a team solving significant customer problems through innovative technology? Our emerging technologies team, within Amazon's Device organization (Amazon Echo, Fire TV, Fire Tablets, and more), is looking for passionate, hard-working, and talented individuals to join our fast paced, start-up environment to help invent the future. We solve significant customer problems in the consumer electronics space through devices, mobile applications, cloud services (AWS), computer vision, and machine learning.
As an Applied Scientist, You will be member of an algorithm team that is responsible for the end-end delivery of ML based algorithms. You will design data collection experiments for the development of ML based algorithms. You will also perform statistical analysis and draw insights using collected and other available large sparse data sets.
You are an individual with outstanding analytical abilities and comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
2+ years of experience of building machine learning models for business application
Experience programming in Java, C++, Python or related language
PHD or MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
5+ years of hands-on experience in predictive modeling and analysis
Expertise on a broad set of classical ML and deep learning technologies
Strong algorithm development experience
Expert in more than one more major programming languages (C++, Java, or similar) as well as with MATLAB, Python or similar scripting language
Strong communication and data presentation skill
Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
Strong digital signal processing background
Strong fundamentals in problem solving, algorithm design, complexity analysis and optimization
Firmware development experience