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R&D Scientist
Rakuten USA, Inc.
00012183 Requisition #


Established in 1997, Rakuten is the biggest E-commerce company in Japan and is also among the largest five E-commerce companies in the world. Rakuten has been growing rapidly, and it has over 40 businesses such as E-commerce marketplace, online travel agencies and financial services. Rakuten also has global presence in North America, Europe, Asia, South America, and Australia.


Rakuten Institute of Technology

Rakuten Institute of Technology (RIT) is the corporate R&D department of the Rakuten group and is responsible for leading strategic technological progress. RIT’s targets vary from basic technologies to innovative new services. RIT consists of highly motivated research scientists located in Tokyo, NYC, Paris, Singapore and North America (Boston and San Mateo) who are driven by strong curiosity and self motivation.


Senior Research Scientist

RIT-Boston is calling for senior research scientists who have strong expertise in the fields of Natural Language Processing (NLP) and Machine Learning (ML) as follows. As a senior research scientist, you will lead building new research prototypes for their eventual productionization.



o Propose new research in NLP and/or algorithms (for instance, new neural architectures in deep learning for NLP) on product data.

o Create core components for our services: Conduct research on sequence prediction models for NLP, large-scale language models, large-scale hierarchical classification models, query generation from documents, and deep learning methodologies for product text understanding.

o Contribute to building large-scale NLP pipeline frameworks for training ML algorithms and deployment of NLP and ML models as services for business units to consume.

o Publish your research in top tier NLP and ML conferences and file patents.


o PhD in computer science or a related field.
o Research experience in NLP, ML, or data/text mining.

o Strong programming skills in at least one of the following: C/C++, Java, Python.

o Strong background in natural language processing, specifically in language analysis technologies, e.g., word segmentation, PoS tagging, named entity  recognition, parsing, or machine translation.

o Academic publications in top-tier peer-reviewed international conferences/journals.

Preferred knowledge and skills

o Strong skills in data structures, algorithms, dockerization and software development skills for building and training Machine Learning/Deep Learning models on Kubernetes CPU/GPU clusters.

o Fluency in one or more of the following languages: English, Japanese, German, Spanish, French, Indonesian, Portuguese, Thai, Chinese.

Location: Boston, MA, USA

Perks include free catered lunches, company-wide outings, competitive compensation and  freedom to publish papers and patents.

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