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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Bio Tech / R&D / Scientist |
| EmploymentType | Full-time |
We are looking for an Applied Scientist to work on improving Amazon Search using NLP and Deep Learning (DL) technology. This is a highly visible role with a huge impact on Amazon customers and business. As a part of this role you will be developing solutions for NER, parsing, NLU, etc. If you are tired of building NLP solutions only for English, you will be able to put your skills to test for many languages including but not limited to German, French, Italian, Spanish, Japanese, Chinese, Portuguese, Dutch, etc. The ideal candidate will be an expert in the area of Machine Learning (ML) in general and NLP specifically and will have a strong record of delivering results.This is a position on a new Search NLP team in Seattle, WA. We are moving fast to change the way Amazon search works. As an Applied Scientist, you will help tackle a variety of technical challenges. Together with a multi-disciplinary team of scientists, engineers, and product managers you will work on building products with NLP/ML/DL at its core. Along the way, you ll learn a ton, have fun and make a positive impact on millions of people., Masters degree in Computer Science or equivalent 3+ years experience applying Data Science Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, etc.) Must have ML/NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement) Strong programming skills in at least one programming language (Java, Python, etc.) Strong verbal and written communication skills and demonstrated technical leadership. PhD in Natural Language Processing, Machine Learning, or Information Retrieval (or related area) or equivalent experience Experience in one or more of the following areas: named entity recognition, entity/relation extraction, semantic search, word/paragraph/document embedding, ranking, ontology-aware IR. Track-record of having developed novel algorithms, e.g. publications in one or more of the following: ACL, NAACL, EMNLP, KDD, WWW, NIPS, SIGIR, ICML etc. Experience with large scale data analysis tools such as Spark, Hadoop etc.Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Keyskills :
research purchase biology language history natural core search microbiology designing biotechnology tools evelopment processing molecular