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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Amazon Principal Applied Scientist in Seattle, Washington

Description

At AWS, we build and operate AI services responsibly, driving measurable success along multiple Responsible AI dimensions, including safety, fairness, privacy, security, robustness, explainability, and transparency.

As a Principal Applied Scientist on this team, you will contribute to:

• Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI.

• Developing new solutions and science best practices in Responsible AI.

• Developing our research and innovation agenda.

• Defining the strategies, priorities and metrics for technical progress in Responsible AI.

• Building and developing the AWS team.

• Driving adoption of new science and best practices among service teams

We are open to hiring candidates to work out of one of the following locations:

New York City, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Basic Qualifications

• Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI.

• Developing new solutions and science best practices in Responsible AI.

• Developing our research and innovation agenda.

• Defining the strategies, priorities and metrics for technical progress in Responsible AI.

• Building and developing the AWS team.

• Driving adoption of new science and best practices among service teams.

Preferred Qualifications

• PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline.

• 10+ years of experience using ML to solve problems in Responsible AI, natural language processing (NLP), computer vision (CV), computer speech (ASR), and/or other AI domains.

• Experience with machine learning applications.

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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