Overview
Manage the team driving development of LLMs (large language models) and our in-house products. This is a broad role spanning technical foundation-building to the growth of the engineering organization. You will oversee multiple PoC and development projects, driving effective technical validation and practical application.
Responsibilities
- Managing and developing the machine learning engineering team
- Developing solutions using LLMs and generative AI, and building the underlying technical foundation
- Overseeing multiple PoC and development projects and driving effective technical validation
- Setting team goals, managing progress, and evaluating results
- Exercising technical leadership to identify and resolve organizational challenges
- Supporting research and development (R&D) and promoting the adoption of new technologies
- Collaborating with cross-functional teams (product managers, researchers, sales, etc.)
Requirements
- Broad knowledge of machine learning and deep learning
- Team management experience (especially in engineering organizations)
- Experience managing multiple PoC or product development projects
- Coaching skills and experience developing team members
- Skill operating Git and Python virtual environments
- Understanding of major frameworks such as PyTorch
Preferred qualifications
- Experience managing an R&D organization
- Experience developing products using LLMs
- Ability to work in English (reading, writing, and speaking)
- Experience with agile development
- Knowledge of data infrastructure and cloud platforms (AWS, Azure, GCP)
Job conditions
- Number of openings
- 2
- Employment type
- Full-time
- Salary
- 8,000,000–12,000,000 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.