Applied Science Manager, Generative AI Innovation Center, AWS
Job ID: 3089408 | Amazon Web Services Japan GK
Amazon launched the Generative AI Innovation Center (GAIIC) in June 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.
Responsibilities
* As an Applied Science Manager in GAIIC, you will partner with technology and business teams to build new GenAI solutions that delight our customers.
* You will direct 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 work with terabytes of text, images, and other types of data to address real-world problems.
* You will be the technical “face” of AWS within the solution providers’ ecosystem/environment as well as directly to end customers, driving discussions with senior technical and management personnel within customers and partners.
* You will interact with data/research/applied scientists and software developers to provide guidance and support.
* You will think strategically about business, product, and technical issues, and you will hire, develop, and retain high-quality technical talent.
About the team
* AWS Global Services helps customers design, build, operate, and secure their cloud environments.
* Experts include AWS Professional Services, AWS Training and Certification, AWS Support and Managed Services, and AWS Security Assurance Services.
* Our expertise includes AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center.
* You’ll join a diverse team of technical experts in dozens of countries.
Diverse Experiences
AWS values diverse experiences. If you do not meet all of the preferred qualifications and skills, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by customers from startups to Global 500 companies.
Inclusive Team Culture
AWS values curiosity and connection. Our affinity groups promote inclusion and empower our people to take pride in what makes us unique.
Mentorship & Career Growth
We provide knowledge-sharing, mentorship, and resources to help you develop into a well-rounded professional.
Work/Life Balance
We strive for flexibility and work-life harmony to support success in both work and home life.
Basic Qualifications
* Japanese fluency, Business English
* PhD degree in computer science, engineering, mathematics, operations research, or a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
* 5+ years of hands-on experience with Python to build, train, and evaluate models
* 5+ years of experience in algorithms/data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
* 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques
* Scientific publication track record at top-tier AI/ML/NLP conferences or journals
* Experience directly managing scientists or machine learning engineers
Preferred Qualifications
* Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
* Experience with model optimization techniques (quantization, distillation, compression, inference optimization, etc.)
* Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, or similar tools
* Strong communication skills, with attention to detail and ability to convey rigorous technical concepts to non-experts
* Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas
* Track record of leading the design, implementation, and delivery of scientifically complex solutions spanning multiple teams
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.
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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