★Machine Learning Engineer | AI Start-up Company

• Business Level Japanese REQUIRED

◆ Flextime & Hybrid Work

◆ Listed Company

◆ Side-job OK

◆ Annual Salary: 4.5 million ~ 8 million yen.

【About the company】

The name "Laboro" is derived from the Latin word "labor," which is the root of the word "labor." The company name reflects its desire to provide AI that can reduce labor, improve efficiency, and enhance results, all of which are currently performed by human labor alone.

In addition, the name "Laboro.AI" is derived from "Labo," meaning "laboratory" in reference to the company's high development and technological capabilities, as well as its desire to collaborate with a wide range of people.

The company is a group of AI & machine learning specialists who develop and provide tailor-made AI solutions, "Custom AI".

The company's mission is to be the "link" between cutting-edge AI technology and the client's business.

【 Job Description】

■Recruitment Background

The company is a group of AI/machine learning specialists that develops and provides "Custom AI," a tailor-made AI model, and is a startup with the mission of "connecting" cutting-edge AI technology and clients' businesses.

Highly valued for its high technology and problem-solving abilities, the company already has many cases of implementation and repeat contracts, mainly with major companies.

The company's machine learning engineers accelerate innovation using the most appropriate technologies for clients in a wide range of industries. To achieve this, it is necessary to constantly catch up on the latest technologies, so you will be provided with an environment where you can continue to update your knowledge and technical skills in cutting-edge areas.

The company is looking for talented people to join the team as it expands its business further in the future.

Please apply if you want to work together with us to bring innovation to the industry and develop products that are truly useful for business.

【About this position】

As the main engineer of the project, you will be responsible for data analysis, model development/improvement, and reporting of results in collaboration with the company's solution designers (responsible for customer negotiation, project management, etc.).

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

【Responsibilities】

・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 for internal project members and customers

【Introduction Example】

Most of the clients are listed companies.

・Development of optimization methods for factory production processes (semiconductors)

・Development of a cloud-based search and recommendation system (recruiting)

・Development of image anomaly detection system (transportation)

【Attractiveness of this position】

・You can always challenge yourself with new machine learning techniques

・You can use machine learning to solve business problems in a variety of industries.

・You can keep up with the technology at the academic level while being involved in the business.

・You can be involved in machine learning development and machine learning modeling that are not just in name, but are truly useful for business.

・You can be involved in creating innovations with AI.

■Ideal Applicants

・Self-starter with a self-motivated attitude.

You will be paired with a solution designer in charge of the business and an engineer, so you will need to be able to work on issues autonomously.

It is important to be able to say "I don't know" and ask others if you don't understand something.

・Able to seek solutions to problems not only by using methods and algorithms, but also by rethinking the problem set.

・Able to catch up on technologies that you don't know or are outside your expertise

There are cases in which unknown technologies are required, including those outside of your area of expertise, so the extent of your growth will depend on whether you can learn them autonomously.

・Interested in a wide range of technologies

【 Requirements】

■Required

・Experience in research and development, etc. using machine learning

・Japanese language skills at business level or above

・Proficiency in English to read English papers

■Preferred

[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.

• Fundamentals 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 on remote environments (on-prem, AWS, etc.) and containers (Docker)

・Experience managing code using GitHub or GitLab

・Experience developing in Python/C++/Go/Rust

[Others]

・Experience in catching up with non-specialized technologies

・Able to communicate logically and work cooperatively with others

・Able to make decisions and work autonomously

・Communication skills in English (as some of our employees are non-Japanese)

【Working Time 】

Flextime System

【 Welfare 】

■Flextime system available (no core time)

■Remote work available (full remote work possible)

■Overtime allowance (paid separately based on overtime hours)

■Bonus twice a year (varies depending on individual performance and company performance)

■Full social insurance (employment/worker's accident compensation/health/employee's pension)

■Transportation expenses paid (full amount)

■Remote allowance: 10,000 yen per month (conditions apply)

■Remote environment construction fee/30,000 yen (conditions apply)

■Periodic medical checkups

■Subsidy for seminar participation

■Subsidy for purchasing books

■Laptop PC and monitor provided separately

■Free drinks

■Subsidized lunch meetings twice a month

■In-house club activities

■Services provided by Kanto IT Software Health Insurance Association

■Side job OK (prior approval required)

【 Holiday 】

■2 days off per week (Sat./Sun.)

■National holidays

■Year-end and New Year vacations

■Paid leave

■4 days during probationary period / after probationary period, prorated according to month of employment based on April 1 (from 15th)

■Celebration or condolence leave