דרושים Applied Scientist Phd - Fall Internship International Technology Beijing ב-אמזון ב-Thailand, Bangkok

As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

职位：Applied scientist 应用科学家实习生（博士生）
毕业时间：不限，实习期间需保持在校生身份
· 入职日期：2025年Q3
· 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

Key job responsibilities
As part of the AWS Shanghai AI Lab (Founded in 2018), you will work on innovative research projects in LLMs, generative AI, and agentic systems. You will collaborate with world-class scientists and engineers globally, including colleagues from other Amazon departments and leading academic institutions. You will have the opportunity to design and develop state-of-the-art solutions for real-world AI challenges, while working in a vibrant team with diverse expertise.

- Master or PhD students in Computer Science, Mathematics or Statistics
- Strong background in machine learning or relevant analytical studies
- Deep understanding of deep learning fundamentals with hands-on experience in LLMs, generative AI, or agentic AI systems; experience in tasks such as model training, fine-tuning, and deployment is highly valued
- Excellent algorithms and programming skills, proficient in Python
- Can guarantee at least 4 months internship and 4 days a week

- Critical and scientific thinking with the ability to invent and dive deep
- Strong publication record in top ML/AI conferences as first author or major contributor, particularly in LLM/Agentic AI research or applications
- Experience in engineering scalable, efficient, and highly optimized AI/ML projects.

As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

The Training Specialist provides an exceptional learning experience, facilitating blended learning for the AGI-DS org. The role requires the ability to support planning, scheduling, coordination and execution of end-to-end training. The Training Specialist will work close with the Training Manager to track and drive completion of training reporting and task completion through the Learning Management System (LMS). Training Specialists also work to identify areas of improvement at a site level and to drive innovation within training approaches.Key job responsibilities
Facilitate classroom training following the approved curriculum.
Actively work to maintain theoretical proficiency in assigned trainings. Maintain expertise in their current role by staying current on tools, process, procedures, and training techniques.
Manage the classroom to ensure an organized and productive learning environment for all trainees.Ensure trainee success by providing coaching & feedback during training and providing feedback to Training Manager on trainee engagement and performance.Manage relevant tasks within the Learning Management System (LMS), such as enrolment and scheduling of learners & trainings, and troubleshoot any implementation issues.
Publish training reports as per the agreed standard/template.
Collect the feedback on the effectiveness of the training programs/modules/content through training surveys, ongoing observations or while taking the course(s) and shares it with the relevant stakeholders.
Communicate with the relevant stakeholders on the progress and needs of ongoing trainings.

Bachelor’s Degree in relevant field
Demonstrated working knowledge of eLearning development tools such as Captivate, Articulate Studio/Storyline, Camtasia, Adobe Photoshop/Illustrator, or Flash
Ability to use multiple learning methods and link appropriate methods with subject matter
Experience working with a globally-distributed management organization