Overview

MoneyForward is actively enhancing its organizational structure of engineering utilizing AI and Machine Learning technology for major products and services of each MoneyForward Company (Business, Home, and X). We strive to realize our vision of "becoming everyone's 'money platform'" through various products and services, including those for individual and corporate customers, to promote more effective use and analysis of data and solve customers' issues. 
To further enhance the machine learning development organization as a core competitive area, we are looking for a senior backend engineer who can take a leadership role in developing and maintaining the machine learning infrastructure and promoting the introduction of the technology throughout the company.

Responsibility

• Design, development, and operation of machine learning system infrastructure across Money Forward's services and products
• Support the development of machine learning features and processes for each company's product development teams
• Improve workflow and efficiency in machine learning system development (promotion of MLops)
• Collaboration with data analysts, analyst engineers, and data engineers, including the Analytics Promotion Office, Analytics Infrastructure Department, and Money Forward Lab, to create a foundation for data-driven analysis and decision making
• Creating business value through the development of machine learning infrastructure based on a company-wide data strategy

Qualifications

• At least three years of experience in designing and developing large-scale web systems and back-end systems
• Experience designing, developing, and operating machine learning systems in cloud environments (AWS/GCP, etc.)
• Experience designing and developing modern backend architectures such as container (Docker, etc.), container orchestration (Kubernetes, ECS, etc.), and microservice architectures
• Experience building machine learning pipelines, workflows, and implementing systems (Kubeflow, MLFlow, etc.)
• Experience and understanding of software engineering (design documentation, understanding of software design review processes such as reviews, software development in distributed code repositories, and collaborative work such as pull requests, code reviews, etc.)
• Deep understanding of team-based software development (experience with development projects using Scrum and Agile methodologies)
• Experience working in a global development team (experience in English communication, documentation, technical and code reviews, and other development tasks)

Language Requirement

English: Business-Level, both verbal and written.
Japanese: Not required. (business-level Japanese speaking is a plus) 

Preferred skills and experience

• Experience developing machine learning systems using modern frameworks (PyTorch, TensorFlow, etc.)
• Extensive knowledge of the machine learning field, including conventional statistical machine learning methods as well as deep learning models
• Experience implementing machine learning algorithms, learning and improving models, and deploying them in services
• Experience in designing and implementing tests, including effectiveness verification, performance evaluation, and A/B testing in an online environment for real-world services
• Experience in designing, developing, and operating large-scale machine learning systems and managing development teams
• Experience working to improve the performance of machine learning models, including model refinement and fine-tuning
• Experience in security design, development, and operation of cloud infrastructure
• Knowledge of data security standards such as personal information, financial and accounting data handling, and PCI DSS, and experience designing, developing, and operating systems following these requirements.

Advantages of this position

Building a large-scale, cross-company machine learning infrastructure provides an excellent opportunity to introduce new systems and freely make advanced and challenging technology choices without being limited by previous technical liabilities.

You can develop your career and experience along with the organization's growth, with great authority to strengthen the organization of your ideal development team or launch new development projects in this environment.

In addition to developing technical expertise as a technical lead, you can also realize a variety of career paths, such as taking on team management as the organization expands.

There are great opportunities for growth, including the ability to expand the scope of your duties to include organizational structure, technical infrastructure, infrastructure development, and data management.

Culture fit and mindset

• People who respect Money Forward's mission, vision, and values
• People who envision the potential in Money Forward's data
• People who have the communication skills to make decisions on technology selection and policies through open discussions and leadership skills to lead the team.
• People who have a habit of continuous learning constantly update their skills and knowledge, proactively share their expertise and achievements with the team, and are happy to see growth for themselves, the organization, and the team.
• People who can actively communicate across organizational boundaries and can solve complex inter-organizational issues.
• People who find pleasure and satisfaction in solving business problems with machine learning technology.

Technology Stack

• Machine Learning: Jupyter Notebook, SageMaker, TensorFlow, PyTorch, etc.
• AWS: SageMaker, EKS, ECS, Lambda, Step Functions, etc.
• GCP: Big Query, GKE, etc.
• Development languages: Python, Go, etc.

Tools used

• Business efficiency: GSuite
• Repository management: GitHub
• CI/CD: CircleCI, bitrise, Argo CD, CodeBuild, GitHub Actions
• Development environment: Vagrant, Docker, Terraform Enterprise
• Monitoring: Datadog, Rollbar, Bugsnag, Sently, New Relic
• Communication: Slack, Chatwork
• Ticket management: Jira, Asana, Trello, Backlog
• Security and Automation: OWASP ZAP, Burp Suite, Sider (Brakeman), Snyk, Vaddy, Dockle, Trivy

Salary Range

Min 7,000,000 - Max 15,000,000 Japanese Yen / Year (Gross)

Location, Remote Work

• Location: Tokyo, Japan
• Remote work is available four days per week.

Relocation Support

• Working Visa
• Flight ticket to Japan
• Signing Bonus
• Temporary fully furnished apartment for the first month

Working hours

Flexible Working Hours (No core time)

Vacations

• Two days off per week (Saturday and Sunday)
• Japanese national holidays (16 national holidays in 2021)
• Paid holiday: 10 days (first year) *Number of paid holidays increases (+1 day) every year up to 20 days a year.
• Summer vacation days: 3 days
• Winter vacations days: 2 days

Benefit

• Health insurance
• Employee stock ownership plan
• Full transportation coverage
• The latest computer (No limit upgrade or purchase when needed for development is available upon approval.)
• Seminar participation support
• Book purchases
• Copyright of OSS belongs to individuals