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Researcher (Member)

Number of openings: 2Full-time6,000,000–7,000,000 yen

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Overview

A role that contributes to corporate strategy through research and development of advanced AI technologies, including LLMs. You will aim for paper presentations at international conferences while also driving their application to our in-house products.

Responsibilities

  • Researching technology trends and academic papers, and proposing innovative research themes
  • Technical validation and prototype development using LLMs
  • Applying research outcomes to our in-house products
  • Submitting and presenting papers at international conferences on machine learning and deep learning (NeurIPS, ICLR, etc.)
  • Sharing research outcomes with internal and external stakeholders

Requirements

  • Knowledge equivalent to a master's degree or higher in computer science or information systems
  • Experience with machine learning frameworks using PyTorch
  • Programming experience with Python
  • Code management skills using Git
  • Experience writing papers in the field of AI research

Preferred qualifications

  • Specialized knowledge in areas such as computer vision or reinforcement learning
  • Experience writing papers and presenting at international conferences in English
  • Knowledge of large language models and generative AI
  • Knowledge of cloud infrastructure and distributed systems

Job conditions

Number of openings
2
Employment type
Full-time
Salary
6,000,000–7,000,000 yen
Benefits & working conditions
Please check the common conditions

Common conditions

  • Commuting allowance
  • Salary increase: once a year
  • Bonus: once a year (paid separately from salary, based on performance)
  • Work location: remote
  • Standard working hours: 8 hours/day, 9:00–18:00
  • Health insurance / Employees' pension / Employment insurance / Workers' accident compensation insurance
  • Health checkup: once a year
  • Employees below manager level may work as few as 2–3 days a week (*salary is calculated on a 5-day equivalent basis)
  • Stock options available (full-time employees only)
  • Two full days off per week (Saturday and Sunday), plus public holidays

Apply for this position

The application form asks for your basic information, education and work history, public work, and motivation.

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