ML Engineer (Image Processing)
Job Summary
- Conditions
- 6,500,000 - 12,000,000(JPY / year)
- Japan, Tokyo
- No remote
- Apply from Anywhere
- Language Requirements
- English: Not required
- Japanese: Business
- Key skills
- Python
- C/C++
Job Description
Job Role
Machine Learning Engineer
Job Description
Main Tasks [Common] - Develop sensing systems using various sensors such as cameras. - Travel to domestic and overseas sites to set up art exhibitions [Sensing System Development Department] - Design and development of in-house applications to control sensing used in artworks - Design and implementation of development infrastructure within the team [Machine Learning Department] - Development and improvement of object recognition models used in artworks. - Development of pipelines for machine learning [Image and Point Cloud Processing Division] - Develop algorithms for object recognition using 2D and 3D point clouds. - Development of algorithms using classical image processing - Verification of new sensors - Development using SDK
Required skills & Experience
Basic qualifications
[Common] - Experience in algorithm implementation - Japanese language skills at a daily conversational level or above [Sensing System Development Division] - More than 3 years of experience in system design and development - Experience in managing a team of 5 or more people [Machine Learning Division] - Experience in development on cloud such as AWS - Experience in learning machine learning models in business - Experience in OpenCV development [Image and Point Cloud Processing Division] - Experience in development using C or C++. - More than 3 years of development experience using OpenCV or PCL
Preferred qualifications
[Common] - Python or C++ development experience - Knowledge/experience in image processing - Experience in team development using GitHub - Experience in competition programming [Sensing System Development Division] - Experience in design and development using C or C++ - Experience in designing and developing Windows applications - Experience in development using OpenCV - OpenGL / DirectX development experience [Machine Learning Division] - Experience with containerized virtualization technologies such as Docker - Experience in model serving using ONNX [Image and Point Cloud Processing Division] - Knowledge of data structures/algorithms and implementation experience - Control of sensor devices
Tech stack
- Environment : PC (macOS, Windows), dual displays, and paid IDEs such as Visual Studio Professional are available upon request. - Infrastructure environment : Computing resources such as AWS and GCP are provided upon request. - Code Management : We use GitHub. - In-house tools : Groupware is Google Workspace for email, calendar, document management, etc. Slack is used for communication.
Job Details
- Employment type
- Full-time
- Minimum and maximum annual income(JPY)
- 6,500,000 - 12,000,000 (JPY)
- Salary details
- 6.5 to 12 million
*Determined by the skills and experience possessed. - Location
- Japan, Tokyo
- Apply from
- Anywhere
- Remote work
- No remote
- Holidays
- As a general rule
- Saturdays
- Sundays
- national holidays
- annual paid vacations
- year-end and New Year holidays
- summer vacation
- maternity leave
- childcare leave
- nursing leave - Employee benefits
- - Semiannual closing bonus (twice a year) *Not applicable to group companies
- Long service award (300K, 500K, 1M, 2M, and 3M yen every 3, 5, 10, 20, and 30 years)
- Various other benefits are also provided. - Selection flow
- STEP1 : Web Entry
STEP2 : Programming Challenge (online)
STEP3 : Interview (multiple times) *Selection flow may change depending on the case.
STEP4 : Offer of employment - Others
- Trial period: 3 months
*TeamLab develops teams that take advantage of each person's expertise, and depending on your suitability, we may offer you a different position, employment type, or group company.
*Please use only one route when applying for a position. （If we detect duplicate applications (e.g., via the TeamLab recruitment page, job hunting media, job agents, etc.), we will proceed with the selection process using the route you first applied.
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