drjobs
Lead ML Engineer Residents Of Japan Only
drjobs
Lead ML Engineer Res....
drjobs Lead ML Engineer Residents Of Japan Only العربية

Lead ML Engineer Residents Of Japan Only

Employer Active

drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Tokyo - Japan

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

We are Unlock Design a recruitment agency based in Japan and the job description below is an opportunity with one of our forwardthinking client companies. We aim to ensure a trustworthy and considerate experience for our candidates emphasizing their privacy and longterm career goals. See our full promise and approach by visiting

Basic Information

Client ID: 119000

Job ID: 1225

Position: Senior Machine Learning Engineer

Location: Tokyo

Salary: 8.5M 12M JPY

Language: English Japanese (business level)

Contract type: Permanent

Who we are

The company is an AI startup company with a mission to help create innovation in every industrial business by providing Custom AI which is tailormade AI development for deep learning and other cuttingedge AI and machine learning technologies. Many of our clients are major corporations listed on the first section of the Tokyo Stock Exchange and because we focus on helping them innovate their core business we support many highly innovative AI projects that have a big industrial impact.

Our unique feature is that we can provide consistent support from AI application consulting prototype development and PoC implementation to AI system development.

If you want to be a part of a star group that connects technology and business we are looking forward to hearing from you.

Crossdepartmental collaboration

  • We are unique in that there is very little discommunication (lack of mutual understanding) between engineers and AI consultants which is often heard in AI startups.
  • Since our mission is to connect technology and business many of our members are conscious of communicating from both sides of technology and business and we have a corporate culture to understand each others position and ideas.

Worklife balance

  • We place more emphasis on maximizing the results each individual can achieve in the time they have rather than spending a long time in the dark to produce results.
  • This philosophy is also reflected in our lifework balance. We encourage our employees to think carefully about how they can balance work and private life by clarifying the line between on and off duty and how they can allocate their allotted time.

Flat organization

  • All members of the management team have an attitude of listening to the voices of the members and there is a strong sense of mutual support among the members which creates a culture in which opinions are exchanged and suggestions are made regardless of position or company history.
  • Perhaps due to the relatively high average age of the members the emphasis is on constructive and meaningful discussions rather than on everyone giving their opinions in a nagging manner.

Roles and Responsibility

As the main engineer for the project you will be responsible for data analysis model development/improvement and reporting of results in collaboration with our solution designers (responsible for customer negotiations project management etc.). In addition you will supervise machine learning engineers in other projects and be involved in organizational management.

Specific duties

  • Develop solutions using machine learning technologies such as deep learning (same as machine learning engineers)
  • Evaluate and provide advice from a technical perspective during the project proposal stage
  • Supervise projects that machine learning engineers are in charge of
  • Work related to organizational management of the Engineering Department (hiring evaluation training etc.)

Case Study

Many of our clients are listed companies.

  • Development of optimization methods for factory production processes (semiconductors)
  • Development of a cloudbased search and recommendation system (recruiting)
  • Development of image anomaly detection systems (transportation)

Minimum Requirements

  • 3 years of experience in research and development etc. using machine learning
  • 3 years of experience in Python development
  • Masters/PhD degree in science or engineering (computer science physics mathematics etc.)
  • Business level Japanese or above

Preferred Requirements

Machine Learning Skills

  • Master/PhD degree related to computer science
  • Contribution to international conferences and journals related to machine learning
  • Comprehensive knowledge of machine learning in general and expertise in specific areas
  • Experience teaching machine learning techniques in academia
  • Experience in applying machine learning techniques to business problems

Engineering Skills

  • Experience working in remote environments (onprem AWS etc.) and containers (Docker)
  • Experience managing code using GitHub or GitLab
  • Experience in C/Go/Rust development
  • Experience developing systems/services using machine learning
  • Participation in OSS development related to machine learning (including your own development experience)
  • Experience using MLOps

Other

  • English communication skills (as some of our employees are nonJapanese)
  • Experience in catching up with nonspecialized technologies
  • Experience in management and member development
  • Communicates logically and works well with others

The kind of person we are looking for

  • The ability to work on their own initiative
  • Able to find solutions to problems not only by using methods and algorithms but also by rethinking the problem set
  • Able to catch up with unfamiliar or nonspecialized technologies
  • Have an interest in a wide range of technologies
  • Able to support other members of the team and take the team as a whole into consideration
  • Interested in building the organization of the development team within the engineering department

Conditions / Benefits

Employment system: Full time

Location: Ginza Chuoku Tokyo

Remote work available

Annual Salary:JPY based on experience ability and previous work experience Determined based on skills experience and ability

Overtime allowance (paid separately based on overtime hours) Bonuses twice a year (varies according to individual performance and company performance)

Hours: 09:45 18:30 (1 hour break included)

Flextime system available

Full remote available

Two days off per week (Saturdays and Sundays)

National holidays

Yearend and New Year holiday

Celebration or condolence leave

Paid leave

4 days during probationary period and 10 days after completion of probationary period (reduced depending on the month of joining based on April 1)

Benefits

  • Various social insurances (employment/workers accident compensation/health/employees pension)
  • Transportation expenses paid (full amount)
  • Remote work allowance: 10000 yen per month (subject to conditions)
  • Remote work environment construction fee/30000 yen (conditions apply)
  • Regular health checkups
  • Subsidy for attending seminars
  • Subsidy for purchasing books
  • Subsidy for purchasing books
  • Notebook PC monitor provided
  • Free drinks
  • Subsidies for lunch meetings twice a month
  • Inhouse club activities
  • Services provided by Kanto IT Software Health Insurance Association
  • Second job available (prior request)

Probation: 3 months

Interview Process

  1. CV Screening
  2. 12 interviews
  3. Final Interview
  4. Offer

This process is subject to change.

Remote Work :

No

Employment Type

Full Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.