Fast Retailing Careers

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Digital Business Transformation

Generative AI and Machine Learning Engineer

Entry
Brand FAST RETAILINGFAST RETAILING
Location Ariake Headquarters: 1-6-7 Ariake, Koto-ku, Tokyo, UNIQLO CITY
*Locations are subject to change to locations designated by the company, including overseas locations.
Update Mar, 17 2026

Job Description

■Recruitment Background
“Changing clothes, changing common sense, changing the world.” This is the Fast Retailing Group’s statement. Through “clothing”—an indispensable part of people’s lives around the world—we aim to become the most needed and beloved brand in the world. 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 signifies our commitment to providing the highest level of service our customers desire and becoming a company that improves society alongside our own growth. 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 utilizing 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 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 unique strengths to collaborate across teams and departments, prioritizing the delivery of the best customer experiences, business growth, and the personal 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 spanning e-commerce, supply chain, product planning, business automation, and customer service centers.
・Design and implementation of Proof of Concepts (PoCs) based on business department challenges
・Lead development projects in collaboration with business departments
・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 we operate or to visit development partners.
*The Job Description may change within the scope of duties related to various departments within the headquarters due to department 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 within Japan but also at overseas locations.

Qualifications

■ Required Experience, Skills, and Abilities
・Experience collaborating with stakeholders utilizing machine learning to lead the resolution of challenges
・Strong interest in and practical experience with improving operational efficiency through the use of machine learning
・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. 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 comfortable with English.

■ Preferred Experience, Skills, and Abilities
・Development and operational experience with APIs, batch processing, and similar technologies in a B2C environment
・Experience building and operating business systems in the fashion apparel industry or e-commerce
・Experience using major cloud providers such as AWS and GCP
・Leadership experience as an engineer in a multinational team
・Experience building commonly used and general-purpose frameworks and libraries
・Experience building and operating large-scale web services
・Experience in building and operating supply chain systems, including 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, with a 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, not limited to the above.

■ Working Hours
Flexible work hours, or managerial/supervisory positions
・Flexible work hours
Standard daily working hours: 8 hours; Break: 1 hour
Core hours: 9:00 AM–2:00 PM
Flexible hours…6:00 AM–9:00 AM and 2:00 PM–8:00 PM (Overtime work may occur)


・Supervisors
Based on the working hours of the employee’s department, with the decision left to the employee

■ Holidays and Leave
Two days off per week (Saturdays and Sundays; national holidays are working days) Annual paid leave, special leave (including bereavement leave), childcare and nursing 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
・We actively recruit mid-career professionals across our 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 performance, we may suggest opportunities at other companies or 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