DESCRIPTION

Amazon Science gives you insight into the company's approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.

Please visit https://www.amazon.science for more information.

Would you like to pioneer new technologies in natural language processing, machine translation and machine learning? As an applied scientist, you will develop novel algorithms and modeling techniques to remove language as a barrier to global communication. Your work will help Amazon become further focused on its customers by allowing the platform to always communicate with our customers in their preferred language. You will be able to leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated natural language translation.

We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to join us to build industry-leading Speech and Language technology.

Position Responsibilities:
• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for written language applications
• Research and implement novel ML and statistical approaches which add value to Amazon
• Lead and Mentor junior engineers and scientists
• Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in written language engineering

BASIC QUALIFICATIONS

• Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 6+ years of experience working in data science in a consumer product company
• 3+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists
• Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
• Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

PREFERRED QUALIFICATIONS

• A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 10+ years of experience working in data science in a consumer product company
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval
• Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language
• Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us