本ウェブサイトでは、ユーザーにウェブサイト上のサービスを最適な状態でお届けするためCookieを使用しています。ブラウザの設定(Cookieの無効化等)をそのまま変更せずに閲覧される場合は、弊社ウェブサイト上の全ページでCookieを受信することに同意したものとみなします。詳細は、弊社プライバシーステートメントをご覧ください。
本ウェブサイトでは、ユーザーにウェブサイト上のサービスを最適な状態でお届けするためCookieを使用しています。ブラウザの設定(Cookieの無効化等)をそのまま変更せずに閲覧される場合は、弊社ウェブサイト上の全ページでCookieを受信することに同意したものとみなします。詳細は、弊社プライバシーステートメントをご覧ください。
| 勤務地 | 東京都 23区 |
| 雇用形態 | 正社員 |
| 給与 | 経験考慮の上、応相談 |
About the company
We are a leading fintech company in Japan, building a mobile-first financial platform that helps people and merchants manage money more conveniently and securely. Since launch, we have grown rapidly by combining a strong product mindset with advanced technology and a commitment to improving everyday financial experiences.
Our vision is to keep pushing beyond what is currently imaginable, with a Day 1 mindset and a focus on speed, collaboration, and continuous product improvement. Our mission is to become a No. 1 fintech company by creating better ways for users to spend, save, borrow, prepare, and manage money. We value ownership, thoughtful execution, and working together across disciplines to turn ideas into real-world impact.
What the job entails
As a Machine Learning Engineer, you will help design, build, deploy, and improve ML systems that support financial services. This is a tech-lead-level role focused on turning machine learning into reliable product value, not just prototypes or research. You will work closely with engineers, data scientists, and business teams from early requirement definition and Jupyter-based prototyping through development, deployment, monitoring, and ongoing refinement.
You will define both software requirements and ML-specific quality standards, then help guide the team’s development approach. A key part of the role is improving engineering practices such as code reviews, testing, and team development standards, while also helping raise the maturity of MLOps across the organization. The work requires attention to trustworthiness, explainability, stability, security, and operational quality in mission-critical financial systems.
Key requirements / What we look for
Python product development experience, including package management, testing, and linters
Experience with major data processing and machine learning libraries
MLOps experience, including ML pipeline architecture and workflow engines
Cloud-based development experience
Strong Japanese communication skills
Experience leading cross-functional or technical teams
| 職務経験 | 6年以上 |
| キャリアレベル | 中途経験者レベル |
| 英語レベル | ビジネス会話レベル |
| 日本語レベル | 流暢 |
| 最終学歴 | 大学卒: 学士号 |
| 現在のビザ | 日本での就労許可が必要です |
| 雇用形態 | 正社員 |
| 給与 | 経験考慮の上、応相談 |
| 業種 | インターネット・Webサービス |