Fast Retailing Careers

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Digital Business Transformation

Generative AI and Machine Learning Engineer

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Brand FAST RETAILINGFAST RETAILING
Location Ariake Headquarters: 1-6-7 Ariake, Koto Ward, Tokyo, UNIQLO CITY
*Your location may be changed to a location designated by the company, including overseas locations.
Update Apr, 21 2026

Job Description

■Recruitment Background
“Changing clothes, changing common sense, changing the world.” This is the Fast Retailing Group’s mission statement. Through “clothing”—an indispensable part of people’s lives around the world—we aim to become the world’s most needed and beloved brand. Under the LifeWear concept, we utilize an integrated process spanning from material sourcing to planning, production, and sales to offer unique products made with high-quality and functional materials at prices accessible to everyone.Our revenue has reached 3 trillion yen in the 40 years since our founding, and we have set a long-term goal of 10 trillion yen in revenue. This does not mean that revenue growth is an end in itself; rather, it reflects our commitment to providing the highest level of service our customers desire and becoming a company that improves society as we grow. We view the current period of transformation as our “Fourth Founding,” and one of the drivers of this transformation is the utilization of technology. We are seeking individuals who can join us in driving global digital transformation through the use of technology.

■ Department Overview
The mission of the hiring department, the “Digital Business Transformation Services Department,” is to create results by defining, building, and fully leveraging business systems with a customer-centric, forward-looking perspective—breaking down barriers between business and IT, headquarters and the field, and the physical and virtual worlds.A key feature of our department is that we handle the entire end-to-end process of business and transformation. While we maintain in-house control over the core aspects of business process design and system development, we also actively collaborate with companies possessing world-leading technologies to advance the adoption of new technologies, including AI.Our organization consists of a multinational team with diverse backgrounds—including project managers, engineers, and data scientists. Each member leverages their individual strengths to collaborate across team and departmental boundaries, prioritizing the delivery of the best customer experience, business growth, and the professional development of our employees.

■Job Description
As a Generative AI and Machine Learning Engineer, you will lead the development of generative AI and machine learning systems in collaboration with business departments for systems in areas such as e-commerce, supply chain, product planning, business automation, and customer service centers.
・Design and implementation of proof-of-concept (PoC) projects based on business unit operational challenges
・Lead development projects in collaboration with business units
・Design, development, and operation of systems utilizing large-scale data, generative AI, and machine learning
・Selecting and designing technologies related to generative AI and machine learning

*There may be opportunities for overseas business trips to countries where the company operates or to visit development partners.
*The Job Description may change within the scope of duties related to various headquarters departments due to departmental transfers or organizational changes.

■ Career Path
In addition to expanding your scope of responsibility in system development phase-gate reviews and IT risk assessments, there are abundant opportunities to engage in the design, development, operation, and auditing of in-house systems, depending on your abilities, aptitude, and motivation. Opportunities to play an active role are expanding not only in Japan but also at overseas locations.

Qualifications

■ Required Experience, Skills, and Abilities
・Experience collaborating with stakeholders who utilize machine learning to lead the resolution of challenges
・A strong interest in and practical experience with using machine learning to improve operational efficiency
・At least 5 years of programming experience (Java, JavaScript, Go, Python, etc.)
・At least 3 years of experience in system operations
・Someone who approaches problems with sincerity, maintains a positive attitude, possesses a strong sense of responsibility, and thinks flexibly
・Logical thinking; the ability to understand intentions and context beyond language barriers and guide others toward problem-solving
・Experience in organizational or project management, or in mentoring subordinates and junior staff
・Someone who is willing to actively engage in a work environment where English is used on a daily basis
*Fluency is not required at this stage. We provide an environment where you can learn on the job, as well as support to help you become more comfortable with English.

■ Preferred Experience, Skills, and Abilities
・Experience in developing and operating APIs, batch processes, and similar systems in a B2C environment
・Experience building and operating business systems in the fashion and apparel industry or e-commerce
・Experience using major cloud providers such as AWS and GCP
・Experience leading engineering teams in multinational environments
・Experience building commonly and widely used frameworks and libraries
・Experience building and operating large-scale web services
・Experience building and operating supply chain systems, such as those for production and logistics
・Experience developing and operating systems in collaboration with external partners and system integrators
・Knowledge of automation technologies such as continuous integration and continuous deployment
・Experience with and understanding of testing methodologies and quality control
・Experience with Agile development
・Experience developing distributed systems, highly parallel systems, and high-availability systems

Work Conditions

■Company Name
Fast Retailing Co., Ltd.

■Employment Type
Full-time Employee (Permanent position; 3-month probationary period)

■Annual Salary
・Annual Salary Range: 12 million to 19 million yen (Monthly Salary: 620,000 to 940,000 yen)
・Allowances: Commuting allowance, overtime pay, etc. (*All subject to company regulations)
・Bonuses: Semi-annual bonuses twice a year, year-end bonus (eligibility and amount determined based on company performance and performance evaluations)
・Promotions twice a year (determined based on performance evaluations)
*Salary will be determined based on company regulations, taking into account your previous annual income and experience, and is not limited to the figures listed above.

■ Working Hours
Flexible work hours or managerial/supervisory position
・Flexible work schedule
Standard daily working hours: 8 hours; Break: 1 hour
Core hours: 9:00 a.m. to 2:00 p.m.
Flexible hours…6:00–9:00 and 14:00–20:00; overtime work may occur


・Supervisors
Based on the working hours of the employee’s department; left to the employee’s discretion

■ Days Off and Leave
Two days off per week (Saturdays and Sundays; national holidays are considered workdays) Annual paid leave, special leave (including leave for weddings and bereavement), childcare and family care leave systems, etc.
*In addition to paid leave, special leave is granted in the first and second halves of the fiscal year (the number of days granted varies depending on employment status and the company to which the employee belongs)

■Insurance Coverage
Social Insurance (Health Insurance, Employees’ Pension Insurance, Employment Insurance, Workers’ Accident Compensation Insurance, Long-Term Care Insurance)

■Employee Benefits
Employee stock ownership plan, mutual aid association, partner welfare programs, employee discount program, cafeteria, dedicated shuttle bus (for commuting to the Ariake office), defined contribution pension plan

■Other
・Our company actively recruits mid-career professionals across various Group companies (Fast Retailing, UNIQLO, GU, etc.). We would appreciate it if you could review the information below and consider applying.
- You may apply to multiple companies within the Fast Retailing Group simultaneously. However, please note that even if the selection process proceeds at multiple companies, you can only advance to the final selection stage for one position at a time.
- Based on your submitted resume and interview evaluations, we may contact you to discuss opportunities at other companies or for other positions within the Fast Retailing Group.

・Measures against secondhand smoke: Smoking is prohibited on the premises and indoors; we do not have designated smoking rooms. (Smoking is prohibited during working hours, including break times.)

Location

Ariake Headquarters: 1-6-7 Ariake, Koto-ku, Tokyo, UNIQLO CITY
*Your location may be changed to a location designated by the company, including overseas locations.

OPEN MID-CAREER POSITIONS