We are Unlock Design, a recruitment agency based in Japan, and the job description below is an opportunity with one of our forward-thinking client companies. We aim to ensure a trustworthy and considerate experience for our candidates, emphasizing their privacy and long-term career goals. See our full promise and approach by visiting https://ud-intl.com/pledge/.

【Basic Information】

Client ID: 119000

Job ID: 1227

Position: Machine Learning Engineer

Location: Tokyo

Salary: 4.5M - 8M 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 tailor-made AI development for deep learning and other cutting-edge 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.

Cross-departmental collaboration

• We are unique in that there is very little dis-communication (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 other's position and ideas.

Work-life 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 life-work 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 your project, you will be responsible for data analysis, model development/improvement, reporting of results, etc., in collaboration with our solution designers (responsible for customer negotiations, project management, etc.)

One lead machine learning engineer will be assigned to each project to provide support.

【Specific duties】

• Development of solutions using machine learning technologies such as deep learning
• Customized development of machine learning solutions for client projects
• Development of systems using machine learning technologies
• Technical briefings to internal project members and customers

[Case Study] Many of our clients are listed companies.

• Development of optimization methods for factory production processes (semiconductors)
• Development of a cloud-based search/recommendation system (recruiting)
• Development of image anomaly detection system (transportation)

Minimum Requirements

• Experience in machine learning research
• Japanese language skills at business level or above
• English proficiency to read English papers

Preferred Requirements

[Machine Learning]

• Master/PhD degree related to computer science
• Contribution to international conferences and journals related to machine learning
• Experience in applying machine learning to real-world problems in collaborative research, etc.
• Comprehensive knowledge of machine learning in general
  • Fundamental processing methods for natural language, images, speech, structured data, etc.
  • Basic knowledge of the principles of deep learning and statistical machine learning
• Expertise in a specific area of machine learning

[Engineering]

• Development experience using deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.
• Experience working in remote environments (on-pre, AWS, etc.) and containers (Docker)
• Experience managing code using GitHub or GitLab
• Experience in Python/C++/Go/Rust development

[Other]

• Experience in catching up with non-specialized technologies
• Able to communicate logically and work cooperatively with others
• Ability to make decisions and work autonomously
• Ability to communicate in English (as some employees are non-Japanese)

Who we are looking for

• Self-motivated attitude and be able to work on your own initiative
• You will be paired with a solution designer in charge of the business and an engineer to work on projects, so you will need to be able to work on issues independently
• Able to say that you don't understand something and to be able to ask others what you don't understand
• Able to solve problems not only by using methods and algorithms, but also by rethinking the problem set
• Catch up with unfamiliar or non-specialized technologies
• May be required to learn technologies that you do not know, including those outside your area of expertise
• Have interest in a wide range of technologies

Conditions / Benefits

Employment type: Full time

Location: Ginza, Chuo-ku, Tokyo

・Remote work available

Annual Salary: 4.5M - 8M JPY

• Determined based on skills, experience, and ability
• Bonuses twice a year (varies depending on individual performance and company results)

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

・Flextime system available

・Two days off per week (Saturdays and Sundays)

・National holidays

・Year-end 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)

Probation: 3 months

Benefits:

• Overtime allowance (paid separately based on overtime hours)
• Various types of social insurance (employment/workers' accident compensation/health/employees' pension)
• Transportation expenses paid (full amount)
• Remote allowance: 10,000 yen per month (subject to conditions)
• Remote environment construction fee/¥30,000 (conditions apply)
• Periodic medical checkups
• Subsidy for seminar participation
• Subsidy for purchasing books
• Laptop PC + monitor provided separately
• Free drinks
• Subsidy for a social lunch meeting twice a month

Interview Process

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

*Process is subject to change