Machine Learning Engineer

Machine Learning, Deep Learning

About the company
The company provides products and solutions centered around AI in the medical, manufacturing, and infrastructure fields.

◉ Business Areas and Services Offered
■ Medical
・ Diagnostic support
Joint projects with pharmaceutical companies are promoted by the company to achieve a medical environment where faster and more accurate diagnosis is possible by analyzing patient data, including medical images such as MRI and CT, and aiming to early detect diseases and reduce the burden on radiologists.

・ Drug discovery support
The company is developing products aimed at streamlining screening in drug discovery research. By using the company's unique technology to streamline screening and providing hints for the mechanism of drug action, a system that accelerates research and development by collaborating with experts is being realized.

■ Manufacturing
・ Appearance inspection
Products that combine robots, lighting, cameras, and AI are provided by the company. The company is introducing them into areas that have been difficult to automate, such as inspection of complex-shaped automotive parts.

・ Predictive maintenance
The company is working with equipment manufacturers to achieve a more productive smart factory by using AI to perform predictive maintenance on equipment based on various sensor data collected from FA equipment, including machine tools.

■ Infrastructure
・ Ground investigation
The company is developing AI to confirm the location of buried objects in the ground using images from ground penetrating radar. A simple and accurate method for inspecting buried objects underground is required at construction sites and railway facilities.
Global Aspects
  • Foreign employees already employed
  • Actively pursuing diversity at the work place
They are looking for someone to handle the development, operation, productivity improvement, and reliability improvement of a machine learning system to grow our in-house AI product.

[Job Description]

Design and develop data pipelines
Automate workflows
Build and tune data processing environments for performance
Set up deployment environments using CI/CD
Develop APIs and tools
Improve operational efficiency
Enhance system reliability and quality
Research challenges and task design for data utilization
Research new technologies and share findings with the team
Build platforms to streamline modeling processes.

※Please note that the position is only for those who are currently residing in Japan only
-Practical experience in Python, Rust, Java, or Go
-At least 1 year of practical experience and basic knowledge of RDBMS and SQL
-Basic knowledge of container technologies such as Docker
-Experience in team development and operation using Git, CI/CD
Japanese Level
  • Advanced
-Experience in technical selection, operation, and quality review of products incorporating machine learning models
-Programming skills to improve system performance and reliability
-Experience in developing services or conducting data analysis in cloud environments such as AWS or GCP
-Practical experience in system development using container technologies such as Docker or Kubernetes
-Experience winning competitions such as Kaggle
-Experience in team building or team leadership
Ideal candidate
Sympathize with our mission and values
Proactively take ownership and responsibility for their work
Are capable of open communication in a diverse environment
Are enthusiastic about changing the world of labor safety management, diagnostic support, and drug development using AI
Are eager to learn and work with new technologies
Value teamwork while actively expressing their opinions
Annual Expected salary (Minimum)
Annual Expected salary (Maximum)
Salary promotion
Transporation cost coverage
  • Fully covered
Work hours
9:00 - 18:00
  • Health Insurance (健康保険)
  • Unemployment Insurance (雇用保険)
  • Welfare Pension Insurance (厚生年金保険)