Sr. Manager, Applied Science, Amazon AGI

Amazon.com, Inc.•Boston, MA

34d

About The Position

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.

Requirements

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)

Nice To Haves

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

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.

Benefits

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.

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