

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.Key job responsibilities
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 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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- Japanese fluency, Business English
- PhD degree in computer science, engineering, mathematics, operations research, or in 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, 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
משרות נוספות שיכולות לעניין אותך

ソリューションアーキテクトは、お客様訪問先で AWS を語るに相応しい人材であり、お客様のシニアクラスな方々(CxO レベルも含まれる)と議論した上でお客様のクラウド戦略に影響を与え、クラウド戦略・クラウドジャーニーをリードします。また一方で、技術的に確固たるバックグラウンドを持ち、お客様のアーキテクト及びソフトウェア開発者の方々と技術的な議論を交わし、実現可能性を顧客と共に確認しながら、クラウドを利用した既存システムの移行および新しいテクノロジーを活用したイノベーションをリードするポジションです。
- 1. Degree in Computer Science, Engineering, Mathematics, Technology, or a related scientific/technical field - OR - equivalent training, certifications, and/or experience, regardless of your academic background (0 -2 years)
- 2. Demonstrated ability to adapt to new technologies and learn quickly, even if you don't have prior experience
- 3. Knowledge and/or experiences in AWS services such as EC2, ALB, RDS, VPC, Route53, and S3
- 4. AWS Cloud Practitioner and/or Associate Solutions Architect and/or AI Practitioner Certificate

Why This Role Matters
In the GenAI Innovation Center, we're tackling the most exciting and complex challenges in technology today. Our security leaders aren't just implementing solutions – they're inventing new approaches to security that will define industry standards for years to come.You'll be:
- Pioneering new security architectures for GenAI applications that will be studied and emulated across the industry- Creating the frameworks and best practices that will shape how enterprises implement secure GenAI solutions
- Leading the charge in developing novel security applications powered by GenAI itselfThe Innovation Opportunity
This role sits at the absolute tip of the spear of AWS innovation. You'll have the unique opportunity to:
- Drive industry-first solutions that bridge the gap between new and novel AI and enterprise security requirements
- Build a legacy as one of the pioneers who helped define secure GenAI implementation
Key job responsibilities
Security for GenAI
- Lead security architecture and implementation for enterprise GenAI deployments across EMEA
- Design and implement security controls specific to GenAI applications
- Develop security frameworks and governance models that enable rapid, secure GenAI adoption- Create reusable security accelerators and assets for AWS GenAI servicesGenAI for Security Innovation
- Design and implement innovative GenAI solutions for security use cases
- Create proof-of-concepts demonstrating novel applications of GenAI in security operations
- Develop new methodologies and tools for using GenAI to enhance security capabilities- Build security-focused applications leveraging AWS's GenAI services
Success in this role requires balancing deep technical expertise with strategic thinking while maintaining a relentless focus on customer trust and security excellence.A day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates 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
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

职位:Applied scientist 应用科学家实习生
毕业时间:2025年10月 - 2026年9月之间毕业的应届毕业生
· 入职日期:2025年6月及之前
· 实习时间:保证一周实习4-5天全职实习,至少持续3个月
· 工作地点:北京朝阳区酒仙桥路恒通商务园区
投递须知:
1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦!
2 学校的英文全称请准确填写。
- 正在攻读计算机工程,计算机科学,机器学习,运筹学,统计或相关领域的硕士或博士学位。
- 有机器学习实验设计和统计分析的经验。
- 有使用代码和工具实现算法的经验。
- 有Java,C ++或其他编程语言,以及Python或类似脚本语言的经验。
- 在顶级NLP或ML会议或者期刊上有论文发表。
- 技术视野好;能与技术团队成员深入讨论概念和算法,并对应用问题提出恰当的解决方案。
- 出色的批判性思维能力;能以口头和书面形式清楚地向团队沟通您的技术方案。
- 如有任何问题,请邮件至:cn-sp-sde@amazon.com ,邮件标题请标注“应用科学家+姓名+学校+毕业年份,举例应用科学家+张三+北邮+2025年

Through your activities as an SA, you will deepen your understanding of customer trends in AI/ML adoption and technology development trends, while gaining exposure to various AWS cloud technologies, sparking your interest, and deepening your learning. Your existing technical expertise and experience will undoubtedly be valuable. Engaging in discussions with diverse customers and contributing to the realization of value through advanced technology adoption will provide a unique experience in this role.Key job responsibilities
You will create reference architectures, best practices, and other content, sharing information through external seminars, internal study sessions, or internal document sharing. You will gather and organize information about new AWS services and features, ensuring readiness to propose solutions to customers. Additionally, you will continuously keep up with the rapidly evolving machine learning technologies and industry trends, raising your voice and sometimes leading initiatives on actions AWS should take.Starting with your areas of expertise, you will gradually expand your coverage through daily work and experience accumulation.
- AI/ML技術を利用した研究開発、サービス実装、システム開発といった業務に関する7年以上の経験(Over 7 years of experience in research and development, service implementation, and system development utilizing AI/ML technologies.)
- お客様と的確にコミュニケーションができる能力、また高度な技術を平易な言葉で説明できる能力(Ability to communicate effectively with customers and explain advanced technologies in plain language)
- 社内外の組織を自ら横断して働くことができる能力(Ability to work across internal and external organizations independently.)
- 日々進化するクラウド技術や、自身にとって新しい技術領域について継続的に学ぶ好奇心と学習の習慣(Curiosity and habit of continuous learning about evolving cloud technologies and new technology domains)
- 読み書きに支障がないレベルの英語力。流ちょうなものでなくとも、英語での会話に抵抗感がないこと(English proficiency for reading and writing, and willingness to engage in conversations without hesitation, even if not fluent)

职位:Applied scientist 应用科学家实习生
毕业时间:2025年10月 - 2026年9月之间毕业的应届毕业生
· 入职日期:2025年6月及之前
· 实习时间:保证一周实习4-5天全职实习,至少持续3个月
· 工作地点:北京朝阳区酒仙桥路恒通商务园区
投递须知:
1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦!
2 学校的英文全称请准确填写。
- 正在攻读计算机工程,计算机科学,机器学习,运筹学,统计或相关领域的硕士或博士学位。
- 有机器学习实验设计和统计分析的经验。
- 有使用代码和工具实现算法的经验。
- 有Java,C ++或其他编程语言,以及Python或类似脚本语言的经验。
- 在顶级NLP或ML会议或者期刊上有论文发表。
- 技术视野好;能与技术团队成员深入讨论概念和算法,并对应用问题提出恰当的解决方案。
- 出色的批判性思维能力;能以口头和书面形式清楚地向团队沟通您的技术方案。
- 如有任何问题,请邮件至:cn-sp-sde@amazon.com ,邮件标题请标注“应用科学家+姓名+学校+毕业年份,举例应用科学家+张三+北邮+2025年

- Design and analysis of optical systems, including opto-mechanical mounting. Review designs from optical consultants for performance, manufacturing, etc
- Perform tolerance analysis of designs at the system and subsystem level. Conduct system level integration and validation of designs (testing and troubleshooting).
- Drive full documentation of mechanical design including BOM, drawings and procedures.
- Oversee and coordinate activities involved in fabrication, operation, application, installation, and repair of mechanical or electro-mechanical products and systems.
- Support the evaluation and characterization of optical components and system integrations.
- Collaborate with the cross-functional team to explore concepts and drive optical system development to meet product requirements.
- Drive supplier choice, interaction, and management in order to deliver prototypes in support of concept demonstrations
- Alignment of laser and/or optical systems. Measure laser properties and optical performance to ensure product specifications are met.
- Development of test procedures and test stations.
- Support the optical engineering and system engineering leads with the opto-mechanical system design.
- Bachelor’s degree in Mechanical Engineering or a related field, or equivalent experience
- 3+ years of experience in mechanical systems design and development using at least one standard commercial CAD software package (Solidworks, Creo, etc) including experience with GD&T, FEA and quality detail drawing documentation
- Experience in design of opto-mechanical systems, familiar with optics mounting and optical alignment
- Experience in applied research and/or product development of optics or photonic systems

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.Key job responsibilities
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 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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- Japanese fluency, Business English
- PhD degree in computer science, engineering, mathematics, operations research, or in 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, 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
משרות נוספות שיכולות לעניין אותך