Machine Learning Engineer
Business Overview Rakuten is the one of the largest internet service companies globally and provides more than 70 services spanning eCommerce, finance, telecommunications, sports and much more to approximately 1.4 billion customers. Rakuten Institute of Technology (RIT) is the dedicated Research and Innovation department of Rakuten, with teams in Tokyo, Paris, Boston, San Mateo, Singapore, and Bengaluru. Department Overview The Language program, which is one of our core science programs, aims to automatically create a well-organized product catalog using advanced NLP and ML technologies to generate structured information from unstructured product titles, descriptions, and images. We are also interested in leveraging weakly/semi-supervised and unsupervised techniques to incorporate signals beyond traditional sources, such as customer behavior data, to augment our language understanding. We are looking for research scientists with a strong research background in the NLP field and strong motivation to join the Language program. Why We Hire We have a huge amount of real business data, powerful and reliable computer environments, and brilliant scientists and engineers that empower people and society through AI technologies. We are hiring more research scientists to scale up our ability of empowerment. You will be excited that the cutting-edge technologies you develop have an enormous impact on real businesses. Position Details - Design algorithms and build proto-type systems to solve defined, scientific problems - Demonstrate algorithms / proto-type systems to business stakeholders - Collaborate with engineers to deploy algorithms / proto-type systems into production services - Collaborate with other scientists on research and paper publications - Participate in scientific conferences and contribute to scientific community with paper publications
- Ph.D. in computer science, related research field or equivalent experience. - Strong publication record at top conferences and journals in NLP, machine learning, information retrieval, data mining, or other related research fields, (e.g., ACL, EMNLP, ICLR, ICML, NeurIPS, SIGIR, The Web Conf (WWW), WSDM, KDD, and AAAI). - English fluency for communicating with researchers, engineers, and business stakeholders - Proficiency in reading and processing Japanese text (our product catalog is written in Japanese) - Coding skills: fluency in Python - Model development skills: fluency in PyTorch - Experience with Linux environment
- Coding skills: fluency in C / C++ / Java - Experience in distributed computing such as Spark and Hadoop - Japanese fluency for communicating with researchers, engineers, and business stakeholders.