JOB DESCRIPTION

Machine Learning Engineer (Annotation Leader)

Machine Learning, Deep Learning

About
About the company
This fintech company was established in 2016, and the company is developing AI solutions with a focus on accounting. Their mission is "Change the accounting, and the world will be changed". A lot of accounting firms are facing a labor shortage and the company is trying to automate the work by using AI and image analysis technology.

Their service includes AI systems that utilize image recognition technology for reading documents and receipts to make the work more efficient. The market scale in Japan is expected to be 800 billion yen, and they have already acquired several patents, so they are trying to expand their business for overseas markets.
Corporate Culture
Since they are small team, they try to work closely together to solve problems as a single team. The company is looking for someone with more experience and knowledge than their current team in order to help the team grow and become a fast growing work environment. From the CEO's experience of working at a foreign company, they are flat culture and employees are able to bring up ideas regardless of title or age.
Global Aspects
  • Foreign employees already employed
PR Aspects
The company has won a competition at a fintech award.
Other details
  • Autonomy clearly defined
  • Values clearly defined
JobDescription
Artificial intelligence (AI) that uses machine learning requires prior learning, and the performance of the resulting AI varies greatly depending on the quality and quantity of the teacher data used for learning. Therefore, a large amount of high quality teacher data is required to develop excellent AI.
This teacher data is created by human power and the use of systems, and this company needs a large amount of teacher data, so a large number of members are working on this task.
They are looking for an Engineering Team Manager to organize the team that creates the teacher data that supports this cutting-edge technology.

This position will be responsible for developing superior annotation tools to create high quality and fast teacher data, and working with AI scientists to create higher performance AI.

The main product of this company is an automated input support system that uses AI technology to read text from analog (paper) documents and import it into the system as structured data. They have also recently been working with RPA, which is contributing to the competitiveness of companies by saving more and more labor for tasks that people used to do manually.

This is a great opportunity for you to get to know the company.
You will be able to demonstrate the power of annotation in the PDCA cycle of new AI models and evaluations.
You will be able to reflect your own ideas and opinions in service development and service content as long as they are constructive, regardless of age or internal career.
You will be able to develop systems with a sense of fulfillment and get live feedback from customers because this is an in-house service.

The atmosphere in the company.
They have an open atmosphere where young people can play an active role.
They have an organizational culture that values not only the success of the organization but also opportunities for individual growth.
They can discuss anything constructively and frankly!
They do not stick to old technologies, but actively adopt new ones.

※Please note that the position is only for those who are currently residing in Japan only
Requirements
Must
Experience in developing deep learning/machine learning models (no practical experience required)
Able to develop annotation policies (or have experience creating annotation manuals)
Able to communicate smoothly with annotators, researchers and other related parties
PM experience (Experience in all aspects of IT projects from requirements definition to release. Regardless of the scale of the project)
Japanese Level
  • Advanced
Better
Member management experience
Business level English
Experience in image processing, image recognition, and natural language development
Ideal candidate
Those who can make proposals and decisions on their own initiative.
Those who can multitask and work at the same time.
Those who can communicate with the members considering their mental state.
Conditions
Annual Expected salary (Minimum)
5500000
Annual Expected salary (Maximum)
7000000
Work hours
9:30 - 18:30
Flextime
  • No
Holidays
  • End of Year and New Year Holiday
  • Saturday
  • National Holiday
  • Sunday
Insurances
  • Worker’s Accident Compensation Insurance (労災保険)
  • Health Insurance (健康保険)
  • Unemployment Insurance (雇用保険)
  • Welfare Pension Insurance (厚生年金保険)
Other benefits
  • Free Coffee/Tea
Objective: To create data to improve the accuracy of AI for accuracy. To meet quality and deadline.
What you need: To be able to consider how to achieve goals while working on it.
Work image: Annotation work is not done by yourself, but manual creation and checking are required. Mathematical understanding of deep learning is required to improve the annotation. Knowledge of statistical analysis will be required.
Remote Work
  • Full remote work