Careers

Overview

Join machine learning and deep learning projects to gain hands-on knowledge and practical skills in the latest technologies. As an intern, you will support PoC and prototype development, with opportunities to grow through real project work.

Responsibilities

• Supporting the implementation of machine learning models and data preparation
• Hands-on support for PoC and prototype development
• Carrying out small-scale tasks using Python, PyTorch, and other tools
• Researching the latest academic papers and technical information
• Participating in code reviews and team meetings

Requirements

• Programming experience with Python (including basic data analysis skills)
• Basic knowledge of machine learning and deep learning
• Experience managing code with Git
• Project experience using the PyTorch library (academic or personal projects welcome)

Preferred qualifications

• Experience participating in Kaggle or other AI-related competitions
• Basic knowledge of mathematics (linear algebra, calculus, statistics)
• Experience summarizing papers or reproducing their implementations
• Ability to read technical documentation in English

Job conditions

Number of openings

5

Overview

A role where you will build practical AI development skills through PoC and product development, under the guidance of professional engineers. As a junior engineer, you will contribute to machine learning projects as part of the team.

Responsibilities

• Developing, evaluating, and improving machine learning models
• Assisting with the design and construction of data pipelines
• Code review and debugging work
• Supporting model deployment in cloud environments (AWS, Azure, GCP, etc.)
• Researching academic papers and the latest technologies, and verifying their applicability

Requirements

• Programming experience with Python (professional or personal projects)
• Implementation experience using PyTorch
• Version control skills using Git
• Basic knowledge of machine learning and deep learning
• Basic skills in mathematics (linear algebra, calculus, statistics)

Preferred qualifications

• Project experience with LLMs or natural language processing
• Experience using CI/CD pipelines
• Experience using cloud infrastructure (AWS, Azure, GCP, etc.)
• Ability to read and write technical materials in English

Job conditions

Number of openings

2

Employment type

Full-time

Salary

4,500,000–6,500,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Manage the team driving development of LLMs (large language models) and our in-house products. This is a broad role spanning technical foundation-building to the growth of the engineering organization. You will oversee multiple PoC and development projects, driving effective technical validation and practical application.

Responsibilities

• Managing and developing the machine learning engineering team
• Developing solutions using LLMs and generative AI, and building the underlying technical foundation
• Overseeing multiple PoC and development projects and driving effective technical validation
• Setting team goals, managing progress, and evaluating results
• Exercising technical leadership to identify and resolve organizational challenges
• Supporting research and development (R&D) and promoting the adoption of new technologies
• Collaborating with cross-functional teams (product managers, researchers, sales, etc.)

Requirements

• Broad knowledge of machine learning and deep learning
• Team management experience (especially in engineering organizations)
• Experience managing multiple PoC or product development projects
• Coaching skills and experience developing team members
• Skill operating Git and Python virtual environments
• Understanding of major frameworks such as PyTorch

Preferred qualifications

• Experience managing an R&D organization
• Experience developing products using LLMs
• Ability to work in English (reading, writing, and speaking)
• Experience with agile development
• Knowledge of data infrastructure and cloud platforms (AWS, Azure, GCP)

Job conditions

Number of openings

2

Employment type

Full-time

Salary

8,000,000–12,000,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Leverage the latest AI technologies to lead the design and development of LLMs and our in-house products. This role delivers practical solutions tailored to specific customer challenges.

Responsibilities

• Designing and carrying out R&D and PoC projects
• Building and applying LLM models and generative AI solutions
• Researching the latest technologies and academic papers, and verifying their applicability
• Developing and optimizing machine learning models using Python and PyTorch
• Sharing knowledge and providing technical guidance through team development

Requirements

• Practical experience in machine learning / deep learning
• Knowledge of mathematics such as statistics, calculus, and linear algebra
• Skill operating Python and virtual environments
• Team development experience using Git
• Track record of solving problems using AI technology
• Knowledge and experience with LLMs and natural language processing

Preferred qualifications

• Ability to read papers and hold technical discussions in English
• Experience with large-scale data processing and API development
• Experience with data engineering or MLOps

Job conditions

Number of openings

2

Employment type

Full-time

Salary

7,000,000–8,000,000 yen

Benefits & working conditions

Please check the common conditions

Overview

A role that contributes to corporate strategy through research and development of advanced AI technologies, including LLMs. You will aim for paper presentations at international conferences while also driving their application to our in-house products.

Responsibilities

• Researching technology trends and academic papers, and proposing innovative research themes
• Technical validation and prototype development using LLMs
• Applying research outcomes to our in-house products
• Submitting and presenting papers at international conferences on machine learning and deep learning (NeurIPS, ICLR, etc.)
• Sharing research outcomes with internal and external stakeholders

Requirements

• Knowledge equivalent to a master's degree or higher in computer science or information systems
• Experience with machine learning frameworks using PyTorch
• Programming experience with Python
• Code management skills using Git
• Experience writing papers in the field of AI research

Preferred qualifications

• Specialized knowledge in areas such as computer vision or reinforcement learning
• Experience writing papers and presenting at international conferences in English
• Knowledge of large language models and generative AI
• Knowledge of cloud infrastructure and distributed systems

Job conditions

Number of openings

2

Employment type

Full-time

Salary

6,000,000–7,000,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Lead the design, construction, and operation of cloud environments to deliver optimal cloud solutions.

Responsibilities

• Designing, building, and operating cloud infrastructure
• Selecting and introducing cloud services (AWS, Azure, GCP, etc.)
• Implementing and monitoring security measures
• Ensuring system scalability and availability
• Providing technical guidance and support to team members

Requirements

• Deep knowledge and practical experience with cloud services (AWS, Azure, GCP, etc.)
• Experience designing, building, and operating infrastructure
• Knowledge of networking, security, and storage
• Experience using automation tools (Terraform, Ansible, etc.)
• Problem-solving ability and communication skills

Preferred qualifications

• Holding cloud-related certifications (AWS Certified Solutions Architect, Azure Certified Engineer, etc.)
• Experience with container technologies (Docker, Kubernetes)
• Programming skills (Python, Go, etc.)
• Experience using these in AI-related projects (Bedrock, Azure AI Search, etc.)
• Experience operating large-scale systems

Job conditions

Number of openings

1

Employment type

Full-time

Salary

7,000,000–8,000,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Manage the lifecycle of machine learning models from development through operation, enabling efficient deployment and operation.

Responsibilities

• Building and managing deployment pipelines for machine learning models
• Automating model monitoring, evaluation, and update processes
• Collaborating with data engineers and data scientists
• Optimizing and scaling infrastructure
• Ensuring security and compliance

Requirements

• Experience deploying and operating machine learning models
• Experience building CI/CD pipelines
• Experience using cloud platforms (AWS, Azure, GCP, etc.)
• Knowledge of container technologies (Docker, Kubernetes)
• Programming skills (Python, Bash, etc.)

Preferred qualifications

• Experience using MLOps tools (MLflow, Kubeflow, etc.)
• Knowledge of databases and data pipelines
• Experience using monitoring tools (Prometheus, Grafana, etc.)
• Basic knowledge of machine learning and data science

Job conditions

Number of openings

1

Employment type

Full-time

Salary

7,000,000–8,000,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Handle HR operations broadly, contributing to organizational growth and improved employee satisfaction.

Responsibilities

• Planning and carrying out recruitment activities
• Labor management and payroll
• Planning and running employee education and training programs
• Planning and operating HR systems
• Planning and running internal company events

Requirements

• Practical HR experience (1+ years)
• Basic knowledge of labor laws and regulations
• Communication and coordination skills
• PC skills (Word, Excel, PowerPoint)

Preferred qualifications

• HR experience in the IT industry
• English proficiency (reading and writing level)
• Holding a Labor and Social Security Attorney (Sharoushi) qualification

Job conditions

Number of openings

1

Employment type

Full-time

Salary

4,500,000–5,500,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Responsible for enhancing corporate brand value and communicating information, promoting communication both internally and externally.

Responsibilities

• Writing and distributing press releases
• Building and maintaining media relations
• Managing and operating the corporate website and social media
• Planning and running events
• Promoting internal communications activities

Requirements

• Practical PR experience (1+ years)
• Writing and editing skills
• Communication and presentation skills
• Knowledge of social media and digital marketing

Preferred qualifications

• PR experience in the IT industry
• English proficiency (business level)
• Experience using design tools (Photoshop, Illustrator, etc.)

Job conditions

Number of openings

1

Employment type

Full-time

Salary

4,500,000–5,500,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Own quality design and optimization for AI systems as a whole, supporting project success and reliability. Leverage the latest quality assurance methods and testing techniques to enable the development and operation of high-quality AI models and systems.

Responsibilities

• Designing and introducing quality standards and processes for AI projects
• Checking the performance and reliability of machine learning models
• Planning and executing functional, performance, and security testing
• Ensuring data integrity and consistency
• Introducing test automation tools and managing test scripts
• Analyzing test results and preparing quality reports
• Working with development teams and data scientists to drive quality improvement
• Complying with security and compliance requirements based on regulatory standards

Requirements

• 3+ years of experience as a QA or test engineer on AI/machine learning projects
• Experience verifying and validating machine learning models
• Experience using test automation tools (e.g., Selenium, JUnit)
• Programming skills (Python, Java, C++, etc.)
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Understanding of data quality management
• Excellent problem-solving and analytical skills
• Ability to collaborate and communicate within a team

Preferred qualifications

• Experience as an AI quality architect
• Experience using MLOps tools (MLflow, Kubeflow)
• Knowledge of data engineering or data science
• Experience using monitoring tools (Prometheus, Grafana)
• Knowledge of security and compliance
• QA experience on large-scale AI projects
• Knowledge of the latest quality assurance techniques

Job conditions

Number of openings

1

Employment type

Full-time

Salary

5,500,000–7,000,000 yen

Benefits & working conditions

Please check the common conditions

Overview

Responsible for project progress management, coordinating team resources, negotiating with clients, quality control, and risk management.

Responsibilities

• Managing and developing the machine learning engineering team
• Developing solutions using LLMs and generative AI, and building the underlying technical foundation
• Overseeing multiple PoC development projects and driving effective technical validation
• Setting team goals, managing progress, and evaluating results
• Exercising technical leadership to identify and resolve organizational challenges
• Supporting research and development (R&D) and promoting the adoption of new technologies

Requirements

• 2+ years of experience as a PM or PL on IT projects (PM-only experience is fine; no coding experience required)
• Industry experience: none required (communication skills valued)

Preferred qualifications

• PMP (Project Management Professional) certification holder
• Understanding of and practical experience with agile development methods

Ideal candidate

• Coordination and presentation skills, both within and outside the team
• Ability to grasp the project as a whole and manage progress smoothly
• Flexibility to build good relationships with development teams and clients
• A proactive attitude toward adopting new PM methods and tools
• Ability to respond quickly to scope changes and unexpected issues

Job conditions

Number of openings

2

Employment type

Full-time

Salary

6,000,000–10,000,000 yen

Benefits & working conditions

Please check the common conditions