AI Engineer Japan Residence

Who we are

We are a company that aims to provide the best solutions for companies to solve their problems using advanced technologies especially deep learning and machine learning technologies and make a positive impact on society. We provide comprehensive services ranging from consulting to demonstration testing and solution development for companies with such concerns and already have a proven track record in a variety of areas.

Our clients are both large and small companies and we focus on projects that have high value in terms of technological advancement and the business impact and social significance of the solution.

We are looking forward to working with people who want to propose machine learning and deep learning technologies as practical solutions people who want to research and implement the latest papers people who want to balance research and practical work and people who enjoy discussions among professionals of various genres.

Roles and Responsibility

We are mainly involved in the entire process of creating and providing the best solution to the problems faced by our clients from hearing the clients needs to selecting the data and most applicable methods to be used to implementing them practically in the real world. We also perform AI analysis at the forefront of the expanding point cloud market and create original solutions by applying our AI assets. Since the AI field is still in its infancy stages as an AI Engineer you will be closely working with our clients and have the opportunity to be acknowledged for the result of your own work.

Specific duties

• Acquisition of point cloud data using our clients or our companyowned laser scanners semantic segmentation of point cloud data noise reduction and so on
• Investigate and research problems faced by our clients and use statistical and machinelearning techniques to then devise and implement solutions to solve their problems
• Work hand in hand with a team and closely collaborate with business members to drive projects forward.

Minimum Requirements

• Experience in point cloud objection detection and segmentation
• Practical work experience in applying machine learning
• Experience using AWS GCP Azure or other cloud computing platforms and development tools such as Github
• Demonstrated proficiency in Python and C
• Ability to easily explain difficult machine learning methods to clients and corporate members

Preferred Requirements

• Basic knowledge of statistical platforms aside from machine learning/deep learning
• Experience with developing and optimizing 3D data
• Demonstrated proficiency in C language
• Ability to conduct research in English and have at least a conversational level of English (someone who can have technical conversations in English is a plus)

Who we are looking for

• Someone who can identify with our mission of pursuing the best balance between business and cuttingedge technology.
• The ability to act with a sense of ownership to meet and exceed clients expectations.
• Able to demonstrate leadership and excellent teamwork skills in an environment with uncertainty and pressure.
• Someone who can continuously keep up with the latest technology trends such as deep learning.
• Someone who can actively communicate with other people with engineering backgrounds.

Conditions / Benefits

Employment type: Full time

Location: Tokyo Chiyodaku Otemachi

The building is directly connected to Otemachi Station on the Marunouchi line (Exit C7 E2)

5 minute walk from Tokyo Station (JR Yamanote or JR Keihin Tohoku line)

Annual Salary: 5M 8M JPY (based on experience and skills )

Annual salary system (1/12 of the annual salary is paid monthly)

Includes 45 hours of overtime (additional overtime will be paid separately)

Salary review once a year (there are many cases of salary increases for high performance in just 6 months upon joining the company)

Bonus twice a year (January and July)

Hours: 9:30 18:30 (standard working hours: 8 hours)

Flexible working hours

Core time: 10:30 16:30

Flexible time: (start) 7:30 10:30

(end) 16:30 20:30

Breaktime: 1 hour between 11:00 16:00

Two days off per week (Saturdays and Sundays)

National Holidays

Yearend and New Year holidays (December 28 January 4)

Refreshment leave (5 days after 1 year of employment)

Paid Holidays: 10 days of paid leave amount depends on the years of employment

Before annual paid leave is granted (6 months after joining the company) 3 days of special leave granted upon joining

Benefits:

All transportation expenses are paid

Full social insurance (employment insurance workers accident compensation insurance health insurance: Kanto IT Software Health Insurance Association membership employee pension)

Overtime allowance

Telework consultation (frequency of attendance varies depending on the department and duties)

Casual clothing is welcome

Other benefits

Support for the acquisition of qualifications (book purchase and seminar participation fees)

Subsidies for use of the gymnasium near the office

Acupuncture treatment in the office

Professional counseling services

Interview Process

1. CV Screening
2. Technical Test
3. 1st interview
4. 2nd Interview
5. Final Interview
6. Offer

Remote Work :

No