Applied Science Manager, Generative AI Innovation CenterJob ID: 2644814 | Amazon Web Services Japan GK
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.
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.
BASIC QUALIFICATIONS3+ years of scientists or machine learning engineers management experienceKnowledge of ML, NLP, Information Retrieval and AnalyticsExperience directly managing scientists or machine learning engineersPREFERRED QUALIFICATIONSExperience building machine learning models or developing algorithms for business applicationExperience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customersAmazon 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.
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