דרושים 应用科学家实习生：多模态检索与生成方向 Shanghai Ai Lab ב-אמזון ב-Thailand, Bangkok, Bangkok

In this role you will be part of a world class software engineering team which works on some of the most complex technology problems. You will be responsible to drive system architecture, lead the development and launch of core product features. You will have an opportunity of exploring full stack development to build multiple Customer facing experiences on Retail website that enable millions of Customers to provide how Amazon delivers the shipments to them. You will provide technical leadership to the team, drive best practices, mentor other engineers and drive continuous improvements in engineering and operational excellence. You will lead a 2-pizza team who will lead multiple architectural initiatives.Key job responsibilities
As a software development manager, you will lead a 2-pizza team leading multiple architectural initiatives in the Geospatial realm. You will work with multiple stakeholders and partner teams while working on deep big data problems.

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Key job responsibilities
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.

- 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ year of experience in the industry as a ML practitioner
- Ability to think strategically about business, solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Key job responsibilities
Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally.Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products.Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- 8+ years of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience.
- 3+ years of AI/ML, or other related technology or product background.
- Knowledge of cloud, big data, and machine learning, with technical selling experience.

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.

Key job responsibilities
Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally.Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products.Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- 8+ years of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience.
- 3+ years of AI/ML, or other related technology or product background.
- Knowledge of cloud, big data, and machine learning, with technical selling experience.