Sr. Manager, Applied Science, Amazon AGI

Amazon • Boston, MA

35d

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level