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Research Scientist, AWS NLP

Research Scientist, AWS NLP

Job ID 
US-NY-New York
Posted Date 
Company Services, Inc.
Position Category 
Research Science
Recruiting Team 

Job Description

Have you ever wanted to work on natural language processing and applied machine learning that will make a lasting impact on society? We are looking for brilliant NLP/ML scientists who have the passion to tackle tough problems by bringing cutting edge machine learning and NLP techniques into a brand new area for Amazon! Together with a highly multi-disciplinary team of scientists, engineers, strategic partners, product managers and subject domain experts you will work on building a product with NLP/ML at its core.

We have positions at different levels of seniority. If you're ready to make a difference, apply today! Or reach out to Ryan Teman at

Basic Qualifications

  • PhD in natural language processing, machine learning or equivalent experience

  • Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, LSI, MRFs etc)

  • Experience in deep learning

  • 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 object oriented programming language (Java, Scala, C++, Python, etc.)

  • Knowledge of or experience in building production quality and large scale deployment of applications related to natural language processing and machine learning.

  • Fluency with unix

Preferred Qualifications

  • Experience in one or more of the following areas: entity/relation extraction, information extraction, summarisation, semantics, document classification, ontology, question answering, knowledge graph

  • Experience and/or motivation to work on modern deep learning approaches to NLP: word/paragraph embeddings, structured prediction, sentiment analysis, disambiguation

  • Track-record of having developed novel algorithms, e.g. publications in one or more of the following: ACL, NAACL, EMNLP, SIGIR, NIPS, WWW

  • Experience with large scale data analysis tools such as Spark, Hadoop etc is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.