Amazon Web Services, Inc.
Technology
AppliedScienceManager,ModelCustomization,GenerativeAIInnovationCenter
Neural analysis suggests this role is
optimal for Manager candidates.
“Applied Science Manager, Model Customization, Generative AI Innovation Center at Amazon Web Services, Inc.. Skills: Generative AI, Machine learning, Applied science management. Direct a team of scientists. Build generative AI models”
Industry & Context.
Problem definition; Dealing with ambiguity
What They're Looking For.
Must Have
Experience hiring talent, Experience managing scientists, Experience programming Java, Experience programming C++, Experience programming Python, 3+ years management experience, Experience machine learning, Experience statistics, Experience deep learning, Experience natural language processing, Experience information retrieval, Experience distilling customer requirements, Experience dealing with ambiguity, Experience with competing objectives
Nice to Have
Experience building ML models, Experience developing algorithms, 4+ years building ML models, 4+ years developing algorithms, Experience building complex software systems, Experience managing cross-functional projects, PhD in mathematics, PhD in engineering, PhD in statistics, PhD in computer science
What You'll Do.
Direct a team of scientists
Build generative AI models
Build generative AI pipelines
Deliver state-of-the-art solutions
Work with terabytes of data
Address real-world problems
Drive discussions with senior personnel
Give guidance to scientists
Give guidance to developers
Hire high quality talent
Develop high quality talent
Retain high quality talent
How You'll Work.
Team & Collaboration
Cross-functional teams; Customer-facing skills; Partner ecosystem
Communication Scope
Customer presentations; Technical guidance
Process & Methodology
Cross-functional projects
Full Job Description
Amazon launched the Generative AI Innovation Center (GAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center). GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. About the team About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates
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