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東京都の求人43,698件

Engineering Manager, ML Platform

1000.8〜1500万円/年

※ 募集要項に記載のレンジ。実額は選考で決まります

勤務地
東京都
休日
Saturdays / Sundays / Japanese national holidays
雇用形態
正社員

どんな仕事かAIによる生成

This role leads the technical strategy and execution of an ML platform in Money Forward’s company-wide AI & data strategy organization, particularly in the Financier domain. Responsibilities include setting the platform roadmap, designing large-scale data pipelines, establishing governance and security policies, and coordinating technical decisions with stakeholders.

応募資格・募集要項・仕事内容を見る

この求人に応募

給与1000.8〜1500万円/年

募集元で応募する株式会社マネーフォワードの採用ページへ
相談する共有準備中

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応募資格

必須

求める人物像

  • Strong resonance with Money Forward's vision
  • Passionate about being a fan of our services and contributing to their growth
  • Able to find practical optimal solutions balancing business growth and governance, not only technical ideals.
  • Can frame regulations and security requirements as design considerations, and enjoy solving constraints-driven problems.
  • Takes end-to-end responsibility—from technology selection to operations—and continuously improves.

募集要項最終確認 10/20

職種
MLOpsエンジニア
雇用形態
正社員3 months from join date
役職
Engineering Manager
給与
1000.8〜1500万円/年
給与の詳細
年収 10,008,000円〜1,500万円 Monthly salary system ※Includes fixed allowances for up to 45 hours of legal overtime, legal holiday work, and 40 hours of late-night work.<Salary Range> Min 834,000 JPY / month(10,008,000 JPY / year)- 1,250,000 JPY / month(15,000,000 JPY / year) Each including fixed allowances of 242,807 JPY - 363,912 JPY / month.A「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary. ※Please note that the remuneration of the High Performance Bonus is subject to change according to the company's performance.
手当
Neighborhood housing allowanceneighborhood moving allowance
勤務地
108-0023 21F Tamachi Station Tower S, msb Tamachi, 3-1-21 Shibaura, Minato-ku, Tokyo
転勤
Work location as determined by the company
働き方
Hybrid work style ・As a standard practice, employees are required to work at the office a minimum of 2 days per week. Employees are encouraged to spend 3 or more days in the office. (This policy may be subject to change based on the company and job circumstances) ・The specific "team office days" may vary depending on the assigned team.
勤務時間
Discretionary Labor System for Professional Work ※Conditions apply; subject to change to Flextime System.9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion. ※There is potential for overtime work outside the determined hours.
休日・休暇
Saturdays / Sundays / Japanese national holidaysPaid holidaysSummer holidays (3 days)Winter holidays (2 days)Year-end and New Year’s holidays (Dec 31st~Jan 3rd)
福利厚生
■ Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance) ■ Neighborhood housing allowance and neighborhood moving allowance ■ Health check and gynecological checkup ■ Influenza vaccine ■ Book purchases support ■ Defined-contribution corporate pension ■ Employee stock ownership plan ■ Preferential treatment when using the following services(limited to businesses under contract with Money Forward)  - Rental agency  - Housekeeping services  - Babysitting  - Online English conversation schoolProvided PC Specs: We provide PCs equipped with the latest CPUs (MacOS or Windows). Custom-made PCs tailored to business requirements and replacements with the latest OS are also possible.Systems to Enhance the Development Environment: Peripheral devices necessary for work (such as displays, mice, keyboards) can be purchased as office supplies. Generally, you can choose from standard products (catalog), and if conditions are met, you can apply for non-standard products as well.Money Forward Library: We have a library system where you can freely borrow books, ranging from technical books to management books. Desired books can be purchased at the company's expense.Referral Driven: We cover the cost of recruitment meals. There is a referral reward system.Conference Participation Support: The company partially covers participation in domestic and international conferences, such as RubyKaigi and Google I/O.
社会保険
Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance)
業務の変更の範囲
Work as determined by the company
就業場所の変更の範囲
Work location as determined by the company
経験年数
5年以上
選考の流れ
Casual interview/Document Screening ↓ First interview (Depending on the position, there may be a technical assignment before the interview.) ↓ Several interviews (The number of interviews depends on the position. We will request you to take an aptitude assessment.) ↓ Final interview (We may ask for a reference check before or after the interview.) ↓ Job offer/Offer meeting ※The process may be subject to change depending on the case.■ About the Aptitude Test It is a simple web-based survey taking around 20 minutes to complete.■ What are reference checks? Money Forward may ask for your cooperation with reference checks using a reference check service tool. We believe that mutual understanding is limited to the selection process alone. Therefore, we would like to gather information about you from your supervisor and colleagues at your current or former company to ensure a more reliable match and facilitate your early success after joining our company. ※We do not make employment decisions based solely on the contents of reference checks. ※The fact that you are in the selection process with us will not be disclosed to referees.
掲載日
2026/07/01 02:30(111日前)
最終確認
2026/10/20 03:05(今日)

仕事内容

Overview

  • This role sits within Money Forward’s company-wide AI & data strategy organization (CDAO Office). In the Financier domain in particular (financial services / credit), you will lead the technical strategy and execution of an ML platform.
  • You will be responsible for end-to-end technical decision-making for designing a secure and efficient foundation to leverage large-scale financial transaction data, and for the technical direction of product implementation.

Background

  • To advance decision-making using Money Forward’s vast financial data (e.g., credit assessment), the platform side is held to an extremely high bar:
  • _Large-scale transaction processing:_ Build data pipelines that can process data at the scale of tens of millions of users without loss and with low latency, and supply it to products.
  • _Financial-grade governance and security:_ Build an architecture that ensures explainability and auditability at the code level, aligned with the Financial Services Agency’s model risk management principles and international AI ethics principles.
  • _Company-wide technical standardization:_ Define a reusable, cross-company MLOps environment while meeting product-specific requirements, and make technology choices that maximize development efficiency.

Responsibilities and Duties

  • You are expected to lead the direction of products and technology based on strong technical expertise.
  • Define the ML platform technical strategy and roadmap
  • Translate business requirements into technical specifications and decide medium-to-long-term architectural direction.
  • Design and oversee large-scale data engineering
  • Design data pipelines for high-traffic environments using Databricks and AWS, with performance considerations.
  • Define implementation policies for governance and security
  • Establish “Security by Design,” including IAM/permission design, and build a foundation that balances security with operational ease.
  • Drive technical alignment with stakeholders
  • Coordinate and prioritize with Engineering, Legal, Compliance, and Business teams based on technical validity.

Technology Stack

  • Platform: AWS (SageMaker, Lambda, ECS, S3, etc.), Databricks
  • Data: Python (FastAPI, etc.), SQL, Apache Airflow / Step Functions
  • DevOps: Terraform, GitHub Actions, CodePipeline
  • Communication: Slack, Notion

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