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AI Engineer

6M JPY - ***M JPY

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Tokyo

Full-time (permanent)

Online Interview: Yes

Remote Work from Overseas: No / Remote Work in Japan: Yes

Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Remote work Flex-time Japanese learning support

Related Skills

Programming Language

Python JavaScript TypeScript

Database

MySQL DynamoDB Aurora

Library/Framework

PyTorch Pandas SciPy NumPy Flask

Data analysis / Machine learning

scikit-learn

Operating System

Linux

Cloud / Infrastructure / DevOps tools

AWS GitHub

Language Requirements

Required

Preferred

Job Description

■Job Description
AI technologies such as machine learning are evolving at a rapid pace, and it is not unusual for what was "cutting edge" a year ago to be considered "common sense" today.
In order to keep up with this speed, it is essential to keep oneself interested in the technology and keep learning.
Even if you have an accurate grasp of business issues, classic technology alone will not bring about innovation.
What we are looking for is an engineer who is willing to continue learning while working.
We are looking for engineers who are interested in a wide range of technologies, including machine learning, AI, image recognition, and natural language processing, as well as the technologies we are currently dealing with,
We would like to work with people who are interested in not only the current technologies but also a wide range of technologies such as machine learning, AI, image recognition, and natural language processing, and who are willing to keep learning new things.

Both Mr. Mori, the president of pluszero, and Mr. Nagata, the vice president of pluszero, are engineers who have completed doctoral courses. They are also involved in joint research and developing business solutions.
Please feel free to tell us about your experience, research, and current interests. We look forward to hearing from you.

＜Responsibilities＞
In this position, you will be responsible for a wide range of tasks, from formulating policies related to the study of methods, research, and implementation, to implementation.
In addition, you will be responsible for following up with other members of the team, so we expect you to contribute to the team as well as your own individual performance.
・Research and study of methods based on data (based on papers, we also reproduce the described implementations)
・Implementation and improvement of the studied methods (after implementation, testing and improvement of the engine based on the errors found).
・The languages used are mainly Python. Languages used are mainly Python, but also Java, Javascript, C++, Rust, etc.

There are various projects in the company, such as natural language processing, image processing, OCR, data analysis, and mathematical model development.
In addition, the recent trend is to receive requests to develop systems that incorporate AI engines as a set, and more and more members with diverse technical expertise are working as a single team.
Many sharp members with a high level of expertise in various specific areas are active in this field.


＜Examples of projects with our clients＞
・Development of a used car price and demand forecasting platform using machine learning (automating and increasing the accuracy of used car appraisal work previously performed by appraisers)
・Optimization of foreign currency exchange machine profits using machine learning (presentation of transaction rates that maximize expected profits and detection of money laundering using facial image recognition).
・Development and verification of a system that covers all the functions required for unmanned vessels in order to realize the world's first unmanned vessels in congested waters at an early stage (a consortium of 27 Japanese companies and 45 domestic and overseas organizations, including partner companies, are participating in cooperative projects).


＜What you will get out of this job＞
・An environment where you can be exposed to a lot of technical knowledge.
Master and doctoral students from the University of Tokyo who are conducting cutting-edge research in the laboratory of machine learning and AI are also working as members of the team, and there is a lot of in-house verification of the latest technologies and examination of their application to business.

・You can acquire multifaceted knowledge in an environment where you can work and learn at the same time.
We place importance on balancing research and development with system development to solve our clients' problems, based on our desire to be engineers who work both in business and academia. We have both a business perspective of discovering corporate issues and an academic perspective of constantly exploring new methods. Our greatest feature is that we have both of these perspectives.

・We are willing to invest in research.
A large portion of our revenue is allocated to the development of proprietary technologies. We are working on research and development with the goal of developing "AI that understands the meaning of words.

・We adopt an out-of-the-box development style.
Our development is not a combination of existing methods, but rather a one-stop process that begins with interviews about client issues and needs, followed by identification of issues, planning of solution methods, definition of requirements, theory building, technology development, and implementation.
We do not combine existing libraries, but conduct zero-based technical studies.


■Development Environment
・Major languages: Python, JavaScript (TypeScript)
・Major databases: MySQL, DynamoDB, Aurora
・Frameworks: Pytorch, Scikit-Learn, Numpy, Scipy, Pandas, Flask
・CI：CircleCI
・Server OS：Linux
・Environment: AWS, Bitbucket, GitHub



■Working Environment
We place importance on creating an environment that allows you to work freely in your own way.
・Remote work system (45.5% of employees work fully remotely)
・Introduction of flextime system
・Subsidy for purchasing technical books
・In-house study sessions are held
・Concurrent/secondary jobs OK
・Free dress code

Required Skills and Experiences

■Required: Development Skills ・At least 2 years of experience in developing and designing multiple machine learning systems ・Experience participating in development projects using natural language processing, image processing, machine learning, etc. or research experience in fields related to machine learning, image processing, artificial intelligence, etc. ■Preferred ・Master's degree or PhD related to AI, Machine Learning, Information Science ・Work experience related to DataOps, MLOps ・Experience in web application development ・Experience in customer negotiation ・Experience in member management ・Experience in development of outsourced projects ■Ideal Applicants ・Able to complete assigned projects with a sense of responsibility. ・Able to work a certain volume of hours. →We are looking for people who are able to take on a variety of roles, including full-time employees, interns, side hustles, and outsourced work, 　However, we are looking for people who can work a certain amount of hours and respond quickly due to the large number of client projects.

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Working Condition

■Employment Type
Full-time employee
Trial period: 3months


■Work location
4F Senda Building, 2-6-10 Kitazawa, Setagaya-ku, Tokyo

・Access
4 minutes walk from Shimokitazawa station


■Assumed annual income
6.4-12 million yen


■Working hours
Flextime system (core time 13:00-17:00)


■Benefits
Remote work system (83.5% of our employees work remotely) / Flexible working hours / Book purchase subsidy system /  In-house study meetings (held twice a month to introduce projects, technologies, etc.) / Dual/secondary jobs allowed / Social insurance: health insurance, employee pension, workers' accident compensation insurance, unemployment insurance / Commuting allowance (based on company rules) / Overtime allowance (45 hours estimated overtime, excess is paid separately) Overtime allowance (45 hours estimated overtime, excess paid separately) / Free dress code


■Holidays and vacations
2 days off per week (Saturday and Sunday) / National holidays / Year-end and New Year vacations / 120 days off per year

RECRUITMENT PROCESS

Document Screening
↓
Coding test (online available)
↓
First interview + coding test (online)
↓
Final interview (online)

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