Machine Learning Engineer, Credit Modeling
薪資範圍:8,000,000 ~ 12,000,000 JPY / year
PayPay is a FinTech company that has grown to over 65M (as of August 2024) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.
OUR VISION IS UNLIMITED_
We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.
※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.
We are seeking an experienced Machine Learning Engineer with a strong background in end-to-end ML systems, cloud platforms, data pipelines, and model monitoring. Lead the development of cutting-edge machine learning software systems for credit modeling and default risk prediction. Your work will not only involve deploying these systems to production but also ensuring they meet the diverse needs of our users and merchants through rigorous testing.
Imagine working with petabyte-scale datasets, developing high-throughput, low-latency systems that serve models in production, and touching the lives of over 65 million customers daily. Collaborate with some of the most innovative engineering teams to bring machine learning functionalities into our in-house production systems, and watch your contributions make a tangible difference.
Responsibilities
- Design and implement credit ML models and systems, ensuring robust and scalable solutions.
- Develop end-to-end ML pipelines for credit modeling, including data collection, preprocessing, model training, and deployment.
- Collaborate with data scientists and software engineers to integrate ML models into production environments, enhancing lending systems.
- Utilize cloud platforms (AWS preferred, GCP, Azure) to scale ML solutions, manage resources, and optimize costs.
Qualifications
- 3+ years of professional experience, particularly in developing and implementing credit ML models or systems within the banking or FinTech industry.
- Educational background in Computer Science, Engineering, Mathematics or related field.
- English language only is welcome! Japanese bilingual ideal.
- Good understanding of supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods.
- Proficiency in Python, PostgreSQL, Java/Scala.
- Strong knowledge of database management systems (e.g., MySQL, PostgreSQL), data wrangling, feature engineering, ETL processes, and SQL databases.
- Familiarity with tools such as Apache Spark.
- Experience with Docker, Kubernetes, and cloud platforms (AWS preferred). Knowledge of MLOps practices.
- Expertise in TensorFlow, PyTorch, Keras, scikit-learn, and XGBoost.
- Proficiency with Jupyter Notebooks, Git, Jenkins, Apache Spark, and Hadoop.
Expected personality
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Adaptability and a willingness to learn new technologies and techniques.
- Proactive mindset with the ability to think strategically about team and company needs.
- Ability to make suggestions and improvements independently.
- Logical communicator with the ability to coordinate smoothly with stakeholders.
公司地址:
YOTSUYA TOWER 1-6-1, Yotsuya, Shinjuku-ku, Tokyo 160-0004, Japan其他:
PayPay, a FinTech company, has achieved more than 65M users within around 6 years since its launch in 2018PayPay, a FinTech company that has achieved more than 65M users (as of August 2024) within around 6 years since its launch in 2018, is rapidly expanding its business scale as a payment platform used by approximately one out of every two smartphone users in Japan. The company has a diverse team of professionals from more than 50 countries and is building a world-class engineering organization.About our working style, we had introduced a new personnel system called WFA (Working From Anywhere*). At PayPay, we work fully remotely in Japan. Therefore, the working place or your living place doesn't matter. Even if you are living in a local area, the salary and benefit package will be at an international level while you enjoy working with world class colleagues. You will find such a way of working at PayPay! *This WFA policy is applicable only within Japan.Click here to learn more about PayPay and hear the voice from our employees from Taiwan!<Voices of PayPay Developers>-2025-03-04