Applied Scientist, AWS HealthScribe

Company:  Amazon
Location: Santa Clara
Closing Date: 27/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job ID: 2751329 | Amazon.com Services LLC

Amazon AI is looking for an Applied Scientist to join our science team in the area of Natural Language Processing and Health AI. Our organization develops the science that drives the cloud-based AI services of AWS. Our mission is to put the power of AI into the hands of every developer. We seek to advance the state of the art in machine learning to create services that delight our customers and meet real-world business needs.

As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products.

We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact.

BASIC QUALIFICATIONS

  1. PhD, or Master's degree and 6+ years of applied research experience
  2. 3+ years of building machine learning models for business application experience
  3. Experience programming in Java, C++, Python or related language
  4. Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

  1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  2. Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

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