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Applied Scientist, AWS Health AI

Company:, Inc.
Location: Seattle
Posted on: June 12, 2021

Job Description:

Our vision at Amazon Comprehend Medical is to simplify and advance Natural Language Processing (NLP) in Healthcare. We are building a team of passionate people who are focused on changing the world for the better. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML). If you want your work to positively impact the lives of millions of people and you're up for a challenge, let's talk!

We are looking for a passionate, talented, and inventive Applied Scientists who can bring bleeding edge machine learning and NLP techniques into real products solving real problems together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts.

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

  • Masters or PhD in machine learning (or in a highly related area) or equivalent experience
  • Solid background in statistical learning techniques for NLP (Deep Learning, CRFs, SVMs, LDA, LSI, MRFs etc)
  • Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet. 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)
  • Experience and/or solid background on modern deep learning approaches to NLP: word/paragraph embedding, representation learning, text/sentiment classification, ambiguity disambiguation
  • Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.)
  • PhD in Natural Language Processing or Information Retrieval
  • Experience in one or more of the following areas: entity/relation extraction, normalization, text summarization, semantic search, word/paragraph/document embedding, ranking, ontology-aware IR, question answering systems
  • Knowledge of or experience in building production quality and large scale deployment of applications related to natural language processing and machine learning.
  • Track-record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, NAACL, ACL, SIGIR, EMNLP, ICML etc
  • Experience with filesystems, server architectures, and distributed systems
  • Eager to learn new algorithms, new application areas and new tools.
  • Excellent communication skills

Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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

Keywords:, Inc., Seattle , Applied Scientist, AWS Health AI, Other , Seattle, Washington

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