Entry
Return
| Brand |  FAST RETAILING |
|---|---|
| Location |
Ariake Headquarters: UNIQLO CITY, 1-6-7 Ariake, Koto-ku, Tokyo Location may be changed to a location determined by the company, including overseas. |
| Update | Nov, 14 2025 |
Job Description
Recruitment Background
Fast Retailing Group's statement is "Change clothes, change common sense, change the world. This is the statement of the Fast Retailing Group. Under the concept of "LifeWear," we aim to become the world's most needed and loved brand through clothing, which is indispensable to the lives of people around the world. We sell our unique products at prices that are affordable for all kinds of people. Sales revenue has reached 3 trillion yen in the 40 years since its establishment, and the company has set a long-term goal of 10 trillion yen in sales revenue. This means that our goal is not sales growth per se, but rather to become a company that can realize the services demanded by our customers at a high level and improve society along with our corporate growth. We have positioned the current period of transformation as our "Fourth Foundation," and one of the drivers of this transformation is the use of technology. We are looking for someone who can work with us to promote digital transformation on a global scale.
■Outline of the department
The mission of the "Digital Business Transformation Service Department" is to create results by defining, building, and thoroughly utilizing future-oriented business systems from the customer's perspective, regardless of the boundaries between business and IT, headquarters and field, and real and virtual. We are characterized by our end-to-end approach to the entire process of business and system transformation. While controlling the core aspects of business construction and system development in-house, we also actively collaborate with companies that possess the world's most advanced technologies and promote the introduction of new technologies such as AI. The organization is composed of multinational members with diverse backgrounds, including project managers, engineers, and data scientists, who use their strengths to collaborate across team and department boundaries to achieve the best customer experience and business growth, while placing importance on employee growth.
■ Job Description
As a Generative AI and Machine Learning Engineer, you will lead the development of generative AI and machine learning systems for EC, supply chain, product planning, business automation, customer center, and other systems in cooperation with business divisions.
Design and implementation of PoC based on business issues in business divisions
Lead development projects in collaboration with business units
Design, development, and operation of systems using large-scale data, generative AI, and machine learning
Selection and design of technologies related to generative AI and machine learning
*Overseas business trips to countries of operation and development partners may be required.
Job Descriptions are subject to change within the scope of work related to each department of the headquarters due to departmental transfers and organizational changes.
■Career Path
In addition to expanding your area of responsibility in system development phase-gate reviews and IT risk assessments, there are abundant opportunities to get involved in the design, development, operation, and auditing of in-house systems, depending on your ability, aptitude, and motivation. We offer a wide range of opportunities not only in Japan, but also at our overseas offices.
Fast Retailing Group's statement is "Change clothes, change common sense, change the world. This is the statement of the Fast Retailing Group. Under the concept of "LifeWear," we aim to become the world's most needed and loved brand through clothing, which is indispensable to the lives of people around the world. We sell our unique products at prices that are affordable for all kinds of people. Sales revenue has reached 3 trillion yen in the 40 years since its establishment, and the company has set a long-term goal of 10 trillion yen in sales revenue. This means that our goal is not sales growth per se, but rather to become a company that can realize the services demanded by our customers at a high level and improve society along with our corporate growth. We have positioned the current period of transformation as our "Fourth Foundation," and one of the drivers of this transformation is the use of technology. We are looking for someone who can work with us to promote digital transformation on a global scale.
■Outline of the department
The mission of the "Digital Business Transformation Service Department" is to create results by defining, building, and thoroughly utilizing future-oriented business systems from the customer's perspective, regardless of the boundaries between business and IT, headquarters and field, and real and virtual. We are characterized by our end-to-end approach to the entire process of business and system transformation. While controlling the core aspects of business construction and system development in-house, we also actively collaborate with companies that possess the world's most advanced technologies and promote the introduction of new technologies such as AI. The organization is composed of multinational members with diverse backgrounds, including project managers, engineers, and data scientists, who use their strengths to collaborate across team and department boundaries to achieve the best customer experience and business growth, while placing importance on employee growth.
■ Job Description
As a Generative AI and Machine Learning Engineer, you will lead the development of generative AI and machine learning systems for EC, supply chain, product planning, business automation, customer center, and other systems in cooperation with business divisions.
Design and implementation of PoC based on business issues in business divisions
Lead development projects in collaboration with business units
Design, development, and operation of systems using large-scale data, generative AI, and machine learning
Selection and design of technologies related to generative AI and machine learning
*Overseas business trips to countries of operation and development partners may be required.
Job Descriptions are subject to change within the scope of work related to each department of the headquarters due to departmental transfers and organizational changes.
■Career Path
In addition to expanding your area of responsibility in system development phase-gate reviews and IT risk assessments, there are abundant opportunities to get involved in the design, development, operation, and auditing of in-house systems, depending on your ability, aptitude, and motivation. We offer a wide range of opportunities not only in Japan, but also at our overseas offices.
Qualifications
Required Experience, Skills, and Abilities
Experience in leading the resolution of issues by collaborating with stakeholders who utilize machine learning.
Strong interest and practical experience in improving business efficiency using machine learning
At least 5 years of programming experience (Java, Javascript, Go, Python, etc.)
At least 3 years of experience in system operation
Positive, responsible, and flexible in mindset.
∙ Logical thinking. Ability to go beyond language to understand intent and background and lead to problem resolution.
・Organizational/project management experience or experience in mentoring subordinates/junior staff.
Able to work in a positive work environment where English is used on a daily basis.
Fluency in English is not required. We will provide an environment where you can learn in the course of actual work and support to become accustomed to English.
■Welcome experience, skills and abilities
Experience in B2C API and batch development and operation
Experience in building and operating business systems in the fashion apparel industry and EC
Experience in cloud computing with major cloud providers such as AWS, GCP, etc.
Experience in leading a multinational team as an engineer
Experience in building commonly and universally used frameworks and libraries
Experience in building and operating large-scale web services
Experience in building and operating supply chains such as production and logistics
Experience working with external partners and system integrators
Knowledge of automation technologies such as continuous integration and continuous deployment
Experience and understanding of testing methodologies and quality control
Experience in agile development
Experience with distributed systems, highly concurrent systems, and highly available systems
Experience in leading the resolution of issues by collaborating with stakeholders who utilize machine learning.
Strong interest and practical experience in improving business efficiency using machine learning
At least 5 years of programming experience (Java, Javascript, Go, Python, etc.)
At least 3 years of experience in system operation
Positive, responsible, and flexible in mindset.
∙ Logical thinking. Ability to go beyond language to understand intent and background and lead to problem resolution.
・Organizational/project management experience or experience in mentoring subordinates/junior staff.
Able to work in a positive work environment where English is used on a daily basis.
Fluency in English is not required. We will provide an environment where you can learn in the course of actual work and support to become accustomed to English.
■Welcome experience, skills and abilities
Experience in B2C API and batch development and operation
Experience in building and operating business systems in the fashion apparel industry and EC
Experience in cloud computing with major cloud providers such as AWS, GCP, etc.
Experience in leading a multinational team as an engineer
Experience in building commonly and universally used frameworks and libraries
Experience in building and operating large-scale web services
Experience in building and operating supply chains such as production and logistics
Experience working with external partners and system integrators
Knowledge of automation technologies such as continuous integration and continuous deployment
Experience and understanding of testing methodologies and quality control
Experience in agile development
Experience with distributed systems, highly concurrent systems, and highly available systems
Work Condition
Company Name
Fast Retailing Corporation
Employment Status
Regular employee (no fixed term, probationary period of 3 months)
Annual salary
Annual salary range: 12-19 million yen (monthly salary: 620,000-940,000 yen)
Commuting allowance, overtime allowance, etc. (*All in accordance with our company's regulations)
Bonuses: Semiannual bonus twice a year, year-end bonus (payment and amount to be determined based on company performance and personnel evaluation)
Promotion: Twice a year (determined according to personnel evaluation)
(Whether or not and the amount will be decided based on the company's performance and personnel evaluation)
Working hours
Flextime system or management supervisor
Flextime system
Standard working hours per day ... 8 hours, break ... 1 hour
Core time ... 9:00 - 14:00
Flexible hours ... 6:00-9:00 and 14:00-20:00 with overtime
Supervisors
Based on the working hours of the department to which the employee belongs, and left to the employee's decision
Vacations and Vacations
2 days off per week (Saturdays, Sundays, and national holidays correspond to working days) Annual paid vacations, special/ congratulatory/condolence leave, childcare/nursing care leave system, etc.
In addition to paid vacations, special leave is granted in the first and second terms (the number of days granted varies depending on the employment status and the company to which the employee belongs).
Insurance
Social insurance (health insurance, employee pension, unemployment insurance, workers' accident compensation insurance, nursing care insurance)
Benefits
Employee stock ownership system, Mutual aid association system, Affiliated welfare programs, Employee discount system, Cafeteria, Exclusive shuttle bus (for commuting to the Ariake office), Defined contribution pension system
Other
We are actively recruiting mid-career workers for our group companies (Fast Retailing, UNIQLO, GU, etc.). We hope you will consider applying for this position after reviewing the following
-You may apply to multiple companies within the Fast Retailing Group at the same time. However, please note that even if you are selected for multiple companies, you will only be able to advance to the final round for one position at a time.
-We will consider your resume, interview evaluation, and other factors in the selection process and may offer you a position in another Fast Retailing Group company.
Smoking is not permitted on the premises or indoors, and there are no smoking rooms or other smoking areas.
Fast Retailing Corporation
Employment Status
Regular employee (no fixed term, probationary period of 3 months)
Annual salary
Annual salary range: 12-19 million yen (monthly salary: 620,000-940,000 yen)
Commuting allowance, overtime allowance, etc. (*All in accordance with our company's regulations)
Bonuses: Semiannual bonus twice a year, year-end bonus (payment and amount to be determined based on company performance and personnel evaluation)
Promotion: Twice a year (determined according to personnel evaluation)
(Whether or not and the amount will be decided based on the company's performance and personnel evaluation)
Working hours
Flextime system or management supervisor
Flextime system
Standard working hours per day ... 8 hours, break ... 1 hour
Core time ... 9:00 - 14:00
Flexible hours ... 6:00-9:00 and 14:00-20:00 with overtime
Supervisors
Based on the working hours of the department to which the employee belongs, and left to the employee's decision
Vacations and Vacations
2 days off per week (Saturdays, Sundays, and national holidays correspond to working days) Annual paid vacations, special/ congratulatory/condolence leave, childcare/nursing care leave system, etc.
In addition to paid vacations, special leave is granted in the first and second terms (the number of days granted varies depending on the employment status and the company to which the employee belongs).
Insurance
Social insurance (health insurance, employee pension, unemployment insurance, workers' accident compensation insurance, nursing care insurance)
Benefits
Employee stock ownership system, Mutual aid association system, Affiliated welfare programs, Employee discount system, Cafeteria, Exclusive shuttle bus (for commuting to the Ariake office), Defined contribution pension system
Other
We are actively recruiting mid-career workers for our group companies (Fast Retailing, UNIQLO, GU, etc.). We hope you will consider applying for this position after reviewing the following
-You may apply to multiple companies within the Fast Retailing Group at the same time. However, please note that even if you are selected for multiple companies, you will only be able to advance to the final round for one position at a time.
-We will consider your resume, interview evaluation, and other factors in the selection process and may offer you a position in another Fast Retailing Group company.
Smoking is not permitted on the premises or indoors, and there are no smoking rooms or other smoking areas.
Location
Ariake Headquarters: UNIQLO CITY, 1-6-7 Ariake, Koto-ku, Tokyo
Location may be changed to other locations as determined by the company, including overseas.
Location may be changed to other locations as determined by the company, including overseas.
