Senior Applied Scientist, Alexa Experiences
- Cambridge, MA
Voice-driven AI experiences are finally becoming a reality and Amazon's Alexa voice cloud service and Echo devices are at the forefront of this latest technology wave. We deliver world-class products on aggressive schedules that are used every day, by people you know, in and about their homes. At the same time, we obsess about customer trust and ensure that we build products in a manner that maintains our high bar for customer privacy. We are looking for a passionate and talented Applied Scientist with experience in delivering production systems based on innovative research. This is a unique opportunity to play a key role in an exciting, fast growing business. You will be working on one of the world's most cutting edge customer experience and technology. You'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally.
You are the ideal candidate if you are clearly passionate about delivering experiences that delight customers and creating solutions that are robust. You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You enjoy and succeed in fast paced environments where learning new concepts quickly is a must. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems to creating reliable, scalable, and high performance products. Your strong communication skills enable you to work effectively with both business and technical partners.
You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history.
• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language
• Gradutate degree in Computer Science (Machine Learning, AI, Statistics, or equivalent);
• 3+ years of practical experience applying ML to solve complex problems;
• Algorithm and model development experience for large-scale applications;
• Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent);
• 4+ years of practical experience applying ML to solve complex problems;
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, Natural Language Processing, recommendation systems, dialogue systems, information retrieval;
• Significant peer reviewed scientific contributions in premier journals and conferences;
• Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar);
• Proven track record of production achievements, handling gigabyte and terabyte size datasets;
• Strong fundamentals in problem solving, algorithm design and complexity analysis;
• Strong personal interest in learning, researching, and creating new technologies with high customer impact;
• Experience with defining research and development practices in an applied environment;
• Proven track record in technically leading and mentoring scientists;
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
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