Join Us in Accelerating the Adoption of Collaborative AI！
We welcome anyone interested in starting with a casual conversation, so please feel free to get in touch.
■Open Positions
We are currently hiring for full-time, contract, and internship positions.
Explore the details of any roles that interest you.
Backend / MLOps Engineer
＜Full-Time or Contract＞
Why We're Hiring
We develop a diverse range of AI services, all of which must deliver an excellent user experience. We are therefore looking for skilled engineers with a strong understanding of the entire service lifecycle—from architecture and development to maintenance and operations.
Developing AI-powered services also requires expertise in MLOps. We are seeking someone capable of properly managing and processing the large volumes of data generated every day.
Responsibilities
- Develop backend systems for web applications using AWS, Google Cloud, Azure, or other cloud platforms
- Participate in client meetings and lead projects as a team leader
- Design, develop, maintain, and operate machine-learning-powered services using MLOps frameworks such as Kedro
Qualifications
Required
- At least one year of backend development experience using a server-side language such as Python or Node.js
- Basic knowledge of machine learning technologies and frameworks such as LightGBM and PyTorch
- Ability to build a basic web application from scratch
- At least one year of experience working in a team using GitHub, including code review, testing, and deployment workflows
Preffered
- Experience using Kedro in an MLOps environment
- Ability to read machine learning research papers and GitHub source code and reproduce their implementations
Employment Terms
- Employment Type：Full-time or Contract
- Compensation：\500,000–\1,000,000 per month
- Selection Process: Casual conversation (optional) → Application Screening → Interview
*Employment Terms are negotiable based on experience, skills, and the type of engagement.
New Business Development & Corporate Strategy
＜Full-Time＞
Why We're Hiring
Collaborative AI is a technology with the potential for broad application across industries such as defense, energy, logistics, and agriculture. We are looking for professionals with strong business development capabilities who can create new business opportunities across a wide range of sectors.
We are also seeking individuals who can effectively manage a broad range of corporate functions—including finance, accounting, general affairs, human resources, and public relations—even in the fast-paced and often unpredictable environment of a startup.
Responsibilities
- Develop new business opportunities and acquire new clients
- Manage and oversee corporate functions, including finance, accounting, general affairs, human resources, and public relations
- Depending on the company’s needs, undertake one of the following engineering responsibilities:
- Frontend development for web applications
- Backend development using cloud services such as AWS
- Data science, including data analysis, visualization, and insight generation
Qualifications
Required
- At least three years of sales experience at a technology company
- Interest in developing businesses involving Collaborative AI
- Knowledge or experience in at least one of the following areas: frontend development, backend development, or data science
Preferred
- Experience managing corporate functions at a startup
Employment Terms
- Employment Type：Full-time or Contract
- Compensation：\500,000–\1,000,000 per month
- Selection Process: Casual conversation (optional) → Application Screening → Interview
Machine Learning, Optimization & Control Engineer
＜Full-Time / Contract＞
Why We're Hiring
As we pursue research and development across a wide range of AI technologies, we are looking for team members with deep expertise and a strong interest in areas such as:
- Multi-agent deep reinforcement learning
- Transfer learning and knowledge distillation
- Diffusion-model-based image generation
- Combinatorial optimization and graph theory
- Control theory, including classical control, modern control, and model predictive control
Responsibilities
- Conduct research and development of the multi-agent AI technologies developed by our company
- Develop algorithmic components involving machine learning, optimization, and control for individual projects
- Build and operate MLOps pipelines using frameworks such as Kedro
Qualifications
Required
- At least three years of experience developing machine learning technologies, whether in a professional, research, or personal capacity
- Ability to independently build a basic web application using AWS
Preffered
- A PhD in machine learning or a related field
- Competitive programming skills at the AtCoder Blue level or above
- At least three years of professional experience in MLOps
Employment Terms
- Employment Type：Full-time or Contract
- Compensation：\400,000–\1,200,000 per month
- Selection Process: Casual conversation (optional) → Application Screening → Interview
*Employment Terms are negotiable based on experience, skills, and the type of engagement.
Frontend Engineer
＜Full-Time, Contract, Part-Time, or Internship＞
Why We're Hiring
A well-designed user interface is essential to the widespread adoption of AI.
Rapidly developing demos and prototypes also helps inspire stakeholders and can lead to new business opportunities.
Responsibilities
- Develop user interfaces for individual projects
- Develop user interfaces for demos and prototypes showcased at events
Qualifications
Required
- At least one year of experience designing or developing user interfaces using one or more of the following frameworks or technologies, whether in a professional or personal capacity:
- React
- Vue
- Next.js
- Unity
- Experience in backend development using cloud services such as AWS
Preffered
- Ability to develop iOS applications
- Ability to build a web application from scratch using AWS, Google Cloud, Azure, or another cloud platform
- Experience in data science, including data aggregation, visualization, and insight generation
Employment Terms
- Employment Type：Full-time, Contract, Part-time, or Internship
- Compensation：
- Full-time or Contract：\400,000–\1,000,000 per month
- Part-time or Internship：Starting at \2,500 per hour (\2,000 per hour during the three-month probationary period)
- Selection Process: Casual conversation (optional) → Application Screening → Interview
Data Scientist
＜Full-Time, Contract, Part-Time, or Internship＞
Why We're Hiring
Understanding the characteristics and underlying patterns of data is essential to advancing AI and digital transformation.
We are looking for professionals who can accurately analyze data across a wide range of industries and organizations and select the appropriate machine learning models.
Responsibilities
- Attend client meetings and report on data analysis activities and findings
- Build machine learning models and deploy them to cloud platforms such as AWS
Qualifications
Required
- At least three years of experience in data science, including data aggregation, processing, visualization, and analysis, whether in a professional, research, or personal capacity
- At least one year of experience working in a team using GitHub, including code review, testing, and deployment workflows
Preffered
- Experience earning a medal in a data science competition such as Kaggle
- Experience developing the backend of web applications using cloud services such as AWS
Employment Terms
- Employment Type：Full-time, Contract, Part-time, or Internship
- Compensation：
- Full-time or Contract：￥400,000–￥1,000,000 per month
- Part-time or Internship：Starting at \2,500 per hour (\2,000 per hour during the three-month probationary period)
- Selection Process: Casual conversation (optional) → Application Screening → Interview