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Description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Science Manager who will play a key role in the next generation of AI powered foundation models.

Key job responsibilities

Lead and manage a team of applied and research scientists, and language engineers, data linguists responsible for building foundation models.

Collaborate with cross-functional teams to ensure that Amazon’s AI models are aligned with human preferences.

Identify and prioritize research opportunities that have the potential to significantly impact our AI systems.

Mentor and guide team members to achieve their career goals and objectives.

Communicate research findings and progress to senior leadership and stakeholders.

Basic Qualifications

- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience

- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)

- Experience building large-scale machine learning and AI solutions at Internet scale

- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- Experience managing and or coordinating projects in a fast pace environment

- Can communicate effectively with all levels of the organization

- Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)

Preferred Qualifications

- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience

- 5+ years of people management experience

- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)

- Experience in practical work applying ML to solve complex problems for large scale applications

- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language

- Experience with building applications using large language models

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/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.