Applied Scientist III AMZ26155.1

Amazon

Not Interested
Bookmark
Report This Job

profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Employer: Amazon Web Services Inc.
Position: Applied Scientist III
Location: Seattle WA

Multiple Positions Available:

Participate in the design development evaluation deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks) optimization methods and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Telecommuting may be permitted.

(40 hours / week 8:00am-5:00pm Salary Range $178006 - $226100)

is an Equal Opportunity Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation



Masters degree or foreign equivalent in Computer Science Machine Learning Engineering or a related field and two years of research or work experience in the job offered or as a Research Scientist Research Assistant Software Engineer or a related occupation. Employer will accept a Bachelors degree or foreign equivalent in Computer Science Machine Learning Engineering or a related field and five years of research or work experience in the job offered or a related occupation as equivalent to the Masters degree and two years of research or work experience. Must have one year of research or work experience in the following skill(s): programming in Java C Python or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business science or engineering.

The pay range for this position in Seattle WA is $178006 - $226100 (yr); however base pay offered may vary depending on job-related knowledge skills and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits dependent on the position offered. This information is provided by Seattle WA Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazons internal or external careers site.



All applicants must meet all the above listed requirements.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Employer: Amazon Web Services Inc.Position: Applied Scientist IIILocation: Seattle WAMultiple Positions Available:Participate in the design development evaluation deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) application...
View more view more

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

Company Logo

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more

View Profile View Profile