Machine Learning Engineer
Description For Machine Learning Engineer
PayPay, a rapidly growing FinTech company with over 65M users, is seeking an experienced Machine Learning Engineer to lead the development of cutting-edge ML systems for credit modeling and default risk prediction. This role involves working with petabyte-scale datasets, developing high-throughput, low-latency systems, and collaborating with innovative engineering teams to integrate ML functionalities into production systems.
The ideal candidate will have 3+ years of professional experience in developing and implementing credit ML models within the banking or FinTech industry. They should have a strong background in end-to-end ML systems, cloud platforms (AWS preferred), data pipelines, and model monitoring. Proficiency in Python, PostgreSQL, Java/Scala, and various ML frameworks is required.
Key responsibilities include designing and implementing credit ML models and systems, developing end-to-end ML pipelines, collaborating with data scientists and software engineers, and utilizing cloud platforms to scale ML solutions.
PayPay offers a flexible work environment with a WFA (Work From Anywhere at Anytime) policy, super flex time, and comprehensive benefits including social insurance, 401K, and VISA sponsorship. The company values unparalleled speed, commitment, logical thinking, curiosity, and problem-solving skills in its employees.
Join PayPay to work on impactful projects that touch the lives of over 65 million customers daily and be part of a diverse, innovative team that's shaping the future of FinTech in Japan.
Responsibilities For Machine Learning Engineer
- 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
Requirements For Machine Learning Engineer
- 3+ years of professional experience in developing and implementing credit ML models
- Educational background in Computer Science, Engineering, Mathematics or related field
- English language proficiency (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, data wrangling, feature engineering, ETL processes, and SQL databases
- Familiarity with 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
Benefits For Machine Learning Engineer
- Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
- 401K
- Translation/Interpretation support
- VISA sponsor + Relocation support
- Late overtime allowance
- Work from anywhere allowance (JPY100,000)
