AI Application Engineer (Machine Learning Engineer)

★AI Application Engineer (ML Engineer) | Growing Dating App Business Level Japanese Required (N1 Level) ◆ Flextime & Hybrid Work ◆ In-house Service ◆ Annual Salary： 7 million ～ 10 million yen. -------------【About the company】------------- Holding company for romance and marriage matching application operation └Value-oriented matching application for people in their 20s, "with (operated by with Co., Ltd.)" └Matching application for romantic marriage "Omiai (Operated by Omiai Inc.)" -------------【 Job Description】------------- With the objective of incorporating algorithms into major products and reducing the operational workload of company-wide AI utilization, the candidate will primarily be responsible for high-priority business areas currently being driven by the team. The company intends to preferentially assign tasks based on the candidate's areas of expertise and professional interests. ■Responsibilities 【Role of ML Modeling Engineer (Data Scientist)】 Further Sophistication of Matching Algorithms for Existing Products ・Development, improvement, and operation of the following within the company's own dating and marriage matching application: ・Mutual recommendation models ・Recommendation engines ・etc. Development of AI Agents & Promotion of Company-wide AI Implementation ・Development work aimed at reducing operational workload associated with company-wide AI utilization ・Development of internal operational efficiency tools leveraging Generative AI APIs and Slack Bots ・Visualization via BI dashboards ・Updates to data quality management ・etc. ■Recruitment Background The company group is seeking an ML Engineer against the background of business expansion into new domains, the sophistication of matching algorithms in its existing mainstay proprietary dating and marriage matching application business, and an increasing need to reduce the company-wide operational workload through AI utilization. ■ Team Structure You will join the company group's Data Strategy Office, undertaking the company-wide AI implementation mission while working in close alignment with both the dating and marriage matching application businesses. An MLOps Engineer, who already leads the company's overall AI development, is scheduled to serve as the candidate's supervisor. ■Position Highlights Able to deliver value to both the product and internal operations High degree of discretion to move rapidly with a challenge-driven approach Involved in all phases of AI utilization, from PoC to production deployment Drive AI development while communicating closely with both the business and development teams Direct contribution to major, life-changing milestones for users -------------【 Requirements】------------- ▼Required (*Meet all of the following) 3+ years of practical experience in web application development Experience developing applications that utilize APIs Basic knowledge of data pipeline design and operation Understanding of the fundamental theories of machine learning Basic knowledge of mathematics, such as linear algebra and calculus, sufficient to understand and explain the concepts ▼Preferred Experience in product development using SQL and Python Experience developing with Coding Agent (Codex, Claude Code, etc.) Experience developing Slack bots and internal tools Experience designing and building BI dashboards Experience in data quality management and data modeling Experience building data infrastructure in cloud environments such as GCP and AWS ▼Ideal Applicants Able to think and act with a user-first mindset Proactively communicates with stakeholders and serves as a hub within the organization Autonomously discovers and solves challenges in highly uncertain new domains, with the ability to identify and take on new initiatives Engages not just in building products, but in the entire lifecycle—including development, operation, and improvement—with a strong focus on post-release stability and reliability -------------------------------------------------- 【Working Hours】 Flextime System 【Holidays】 ・Saturday/Sunday/National Holiday ・Annual Paid Leave ・New Year Holiday ・Parental Leav ・Nursing Care Leave ・Bereavement Leave 【Welfare】 ■ Hybrid Work The company allows employees to choose between "remote work" and "in-office work" based on the nature and circumstances of their daily tasks. (Employees are expected to manage this independently.) *For corporate department roles (accounting, PR, HR, etc.), regular in-office attendance may be requested due to certain paper-based operations. *In-office attendance will be requested when company-wide meetings are held (expected about twice a year / transportation expenses covered). *Approximately 90% of employees currently work remotely. ■ Flextime System (Core Hours: 11:00 AM – 4:00 PM) └ Standard working hours: 8 hours └ Break time: 1 hour ■ Overtime Work └ Available (For managerial/supervisory positions, overtime and holiday work are left to the employee's discretion.) ■ "Inspiring Experiences" Support Program ・Subsidy for expenses incurred to gain excellent experiences (Up to ¥60,000/year) └ Activities, movies, dining, exhibitions, travel, seminars, schools, etc. ■ Skill-Up Support Program ・Subsidy for expenses necessary to improve skills deemed essential for work (Up to ¥100,000/year) ■ Dating & Marriage Hunting Support ・Subsidy for related activities (Up to ¥10,000/year) ■ Babysitter Support ・Support for in-home childcare/caregiving and transportation to/from childcare facilities by a babysitter *Applicable when childcare fees exceed ¥2,200 ■ Lunch Support ・Subsidy provided for meals attended by two or more people (¥2,200 including tax per person) *Up to 3 times a month ■ Other Social Insurance and Allowances ・Full social insurance coverage (Health Insurance, Employees' Pension Insurance, Employment Insurance, Industrial Accident Compensation Insurance) ・Full transportation allowance (Up to ¥50,000/month) *Paid based on actual expenses ・Marriage congratulatory gift / Childbirth congratulatory gift (¥50,000 each) ・Employee referral bonus ・Performance-based bonus ■ Measures to Prevent Passive Smoking └ No smoking indoors -------------------------------------------------------------------------