Machine Learning Engineer

Summary

Join PayPay, a rapidly growing FinTech company with over 65 million users, as a Machine Learning Engineer. Lead the development of cutting-edge machine learning systems for credit modeling and default risk prediction. You will design and implement robust, scalable ML solutions, develop end-to-end pipelines, and collaborate with data scientists and engineers. This role requires experience in credit ML models, cloud platforms, and data pipelines. Work from anywhere in Japan with flexible hours and enjoy comprehensive benefits, including social insurance, 401K, and relocation support.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Translation/Interpretation support
• VISA sponsor + Relocation support
• Work From Anywhere at Anytime
• Super Flex Time (No Core Time)
• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
• Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
• Personal leave (5 days each year, granted proportionally according to the month of employment)
• PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc
• Annual salary paid in 12 installments (monthly)
• Reviewed once a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance, Work from anywhere allowance (JPY100,000)