A large Internet service company is hiring a software engineer (machine learning).
As a Machine Learning Engineer, you will apply your machine learning skills to develop the company's Consumer-2-Consumer, C2C, marketplace. They are actively utilizing advanced machine learning technologies in order to provide a more convenient and fun marketplace. You will be responsible for analyzing C2C purchasing data in order to improve customer experience in using the online marketplace in a secure manner.
‐ Establish and support the machine learning system constructed on Kubernetes
‐ Provide a recommendation engine.
‐ Enhance customer's behavior prediction.
‐ Tackle anomaly detection.
‐ Develop an image recognition system.
‐ Improve machine learning system and support engineers
【会社概要 | Company Details】
Our client is a fast growing C to C E-commerce company. Their selling application has become one of the largest marketplace in Japan.
【就業時間 | Working Hours】
10:00 - 19:00（Mon - Fri）; Flextime
【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
【待遇・福利厚生 | Services / Benefits】
Social insurance, Transportation Fee
‐ Experience operating web systems
‐ Experience in developing applications in Python and at least one of the following languages: Go, C/C++, or Java
‐ Experience working on end-to-end development of machine learning application, including prototyping, model evaluation, implementation, productionization and service improvement, using Python or other languages
‐ Fundamental knowledge of RDBMS and SQL
‐ Experience leading various projects, with proposing solutions to tackle problems, based on knowledge of domain-specific service and system
‐ Ability to read and understand technical papers and documentation
‐ Experience with large-scale distributed system
‐ Ability to develop features and platforms to improve system performance and reliability
‐ Experience operating systems using containerization technologies such as Docker and Kubernetes
‐ Experience designing and operating systems, including servers, networking and databases, using cloud services (e.g AWS, GCP, Microsoft Azure)
‐ Experience using TensorFlow, Chainer, Caffe, PyTorch or other deep learning frameworks
‐ Experience developing and maintaining microservices using Docker/Kubernetes
‐ Experience publishing or presenting academic papers
‐ Experience publishing and contributing to OSS