Tokyo, Japan Role overview
About this role
This position is for an 8–12 week full-time, on-site internship to be conducted in Summer 2027 (June–September 2027).
*Minimum 12 weeks internship is required for all international hires (who require JP visa support).
*Target Candidates: Students graduating in 2029
Do you want to see your research directly impact how millions of customers discover, browse, and purchase products on Amazon — across Japan and the globe?
Amazon's Japan Store Tech team owns the science and technology behind cross-border shopping — product discovery, search relevance, personalization, and content experiences spanning dozens of marketplaces. We tackle problems at massive scale: multi-language signals, multi-marketplace data, and region-specific customer behaviors, all served at low latency to millions of daily shoppers.
We're looking for current Bachelor or Master students with a passion for applied science and machine learning to join us as an Applied Scientist Intern in Summer 2027 to shape the future of customer experiences at scale. For this position, our Japan Store Tech team is looking for students with a specialization in one or more of the following research areas: machine learning, deep learning, natural language processing (NLP), information retrieval, recommender systems, computer vision, large language models (LLMs), generative AI, causal inference, experimentation and A/B testing, optimization, and more!
As an Applied Scientist Intern, you'll develop novel models and algorithms, design and run experiments on live traffic, and own meaningful science contributions end-to-end. You'll also leverage and contribute to GenAI/LLM systems that power both customer-facing experiences and internal development tools.
If you want to kickstart your science career at global scale — solving real customer problems alongside talented scientists and engineers in a collaborative, international environment — this is the place to start.
Application & Assessment Deadline:
Mid October, 2026
Selection Communication Begins:
End October, 2026
Offer Extensions:
December 2026 – March 2027
Key job responsibilities
- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, develop, and deploy innovative machine learning models and scientific solutions that delight our customers, while participating in technical discussions to drive solutions forward.
- Develop and implement scalable machine learning models and algorithms to improve product discovery, search relevance, personalization, or other customer-facing experiences.
- Design and conduct experiments (offline and online) to validate hypotheses and measure the impact of proposed solutions.
- Analyze large-scale datasets to identify patterns, generate insights, and inform model design decisions.
- Leverage and contribute to the development of GenAI and LLM-powered tools to enhance customer experiences and development productivity while staying current with emerging technologies.
- Write clean, maintainable, production-quality code following best practices.
- Communicate research findings effectively through documentation, presentations, and technical papers.
- Work in an agile environment and collaborate closely with software engineers to bring science solutions from prototype to production.
A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon's science and technology and lead critical projects early in your career.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
Amazon internships are full-time positions, and interns should expect to work in office, Monday–Friday, up to 40 hours per week typically between 9am–6pm. Specific team norms around working hours will be communicated by your manager. Interns should not have other employment during the Amazon work-day.
*Minimum 12 weeks internship is required for all international hires (who require JP visa support).
*Target Candidates: Students graduating in 2029
Do you want to see your research directly impact how millions of customers discover, browse, and purchase products on Amazon — across Japan and the globe?
Amazon's Japan Store Tech team owns the science and technology behind cross-border shopping — product discovery, search relevance, personalization, and content experiences spanning dozens of marketplaces. We tackle problems at massive scale: multi-language signals, multi-marketplace data, and region-specific customer behaviors, all served at low latency to millions of daily shoppers.
We're looking for current Bachelor or Master students with a passion for applied science and machine learning to join us as an Applied Scientist Intern in Summer 2027 to shape the future of customer experiences at scale. For this position, our Japan Store Tech team is looking for students with a specialization in one or more of the following research areas: machine learning, deep learning, natural language processing (NLP), information retrieval, recommender systems, computer vision, large language models (LLMs), generative AI, causal inference, experimentation and A/B testing, optimization, and more!
As an Applied Scientist Intern, you'll develop novel models and algorithms, design and run experiments on live traffic, and own meaningful science contributions end-to-end. You'll also leverage and contribute to GenAI/LLM systems that power both customer-facing experiences and internal development tools.
If you want to kickstart your science career at global scale — solving real customer problems alongside talented scientists and engineers in a collaborative, international environment — this is the place to start.
Application & Assessment Deadline:
Mid October, 2026
Selection Communication Begins:
End October, 2026
Offer Extensions:
December 2026 – March 2027
Key job responsibilities
- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, develop, and deploy innovative machine learning models and scientific solutions that delight our customers, while participating in technical discussions to drive solutions forward.
- Develop and implement scalable machine learning models and algorithms to improve product discovery, search relevance, personalization, or other customer-facing experiences.
- Design and conduct experiments (offline and online) to validate hypotheses and measure the impact of proposed solutions.
- Analyze large-scale datasets to identify patterns, generate insights, and inform model design decisions.
- Leverage and contribute to the development of GenAI and LLM-powered tools to enhance customer experiences and development productivity while staying current with emerging technologies.
- Write clean, maintainable, production-quality code following best practices.
- Communicate research findings effectively through documentation, presentations, and technical papers.
- Work in an agile environment and collaborate closely with software engineers to bring science solutions from prototype to production.
A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon's science and technology and lead critical projects early in your career.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
Amazon internships are full-time positions, and interns should expect to work in office, Monday–Friday, up to 40 hours per week typically between 9am–6pm. Specific team norms around working hours will be communicated by your manager. Interns should not have other employment during the Amazon work-day.
Paris, France 
3 locations in United Kingdom 
2 locations in Israel