A Research Institute is seeking a highly motivated NLP Research Scientists
with a strong research background. This institute focus on core AI research and is spread across six geographical locations including Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. This division consists of AI research scientists with specialization in machine learning, deep learning, natural language processing, computer vision, knowledge discovery and data mining.
Responsibilities:
- Design algorithms and develop prototype systems to address defined scientific problems
- Present algorithms and prototype systems to business stakeholders
- Collaborate with engineers to deploy algorithms and prototypes into production services
- Work with other researchers on studies and academic paper publications
- Participate in scientific conferences and contribute to the research community through paper publications
Required Skills:
- Ph.D. in Computer Science, a related field, or equivalent experience
- Strong publication record in top conferences/journals (e.g., ACL, EMNLP, ICLR, ICML, NeurIPS, SIGIR, WWW, WSDM, KDD, AAAI) in NLP, machine learning, information retrieval or related fields
- Fluent in English for effective communication with researchers, engineers, and business stakeholders
- Ability to read and process Japanese text (our product catalog is in Japanese)
- Proficient in Python for coding
- Skilled in PyTorch for model development
- Experience working in a Linux environment
Why should you apply:
- Great opportunity to be able to work for well-established company
- Cross-departmental communication is possible in an international environment
Company Details:
A global company with a strong presence in multiple business areas. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company boasts a diverse and international environment and is committed to equal opportunity, offering a wealth of career opportunities. Due to the diverse nature of our business, we handle a wide range of technologies! You can also choose the environment you are most comfortable with, such as Windows/Mac! Meals in the company cafeteria are also free. Our chefs are always coming up with new menu items, so you can enjoy your meal without getting bored!
Working hours
: 9:00 - 17:30 (Mon-Fri)
Working Style:
Hybrid (4 days in office, 1 day work from home)
Holidays:
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
Services/Benefits:
Social insurance, childcare support, stock options, commuting allowance, free cafeteria, personal clothing, no smoking indoors (designated smoking areas available)
Number of interviews:
3 online interviews