★Staff AI Engineer | Global Internet Business
- Business Level Japanese Required (N2 Level)
✦Flextime & Fully Remote Work
✦Global Environment
✦Start-up Company
★Annual salary: 12 million yen - 18 million yen
-------------【About the company】-------------
The company will create a society in which all people involved in manufacturing can maximize their inherent power.
To achieve this goal, they will create a "new mechanism" that will change the common sense of industry.
Busy with estimating and administrative tasks, lacking sales skills, and lacking information and networks.
By untying these shackles, the potential of each company can be unleashed.
From small factories in town, to large manufacturers with a long history, to start-ups in their early years, all manufacturing companies will shine by leveraging their strengths to create new value.
They will continue to take on the challenge to open up such a future.
◆Flat organization
Regardless of your position, team, previous experience, gender, age, etc., you can express your opinions and immediately incorporate what is good.
◆Excellent members
The team is made up of members who have been active in leading companies. You will have an environment where there is a growth and stimulation every day.
◆Engineer Driven
Since they are operating in a field where there are no precedents yet in the world, technical skills are extremely important, and engineers play a leading role.
-------------【 Job Description】-------------
The company develops and operates a "Manufacturing AI Data Platform."
This platform transforms the vast amount of dormant knowledge and experience within the manufacturing industry into actionable assets that anyone can leverage. Since its launch in 2022, it has already been adopted by a wide range of clients—from major domestic manufacturers to processing companies—and is growing at a phenomenal pace that significantly outstrips the T2D3 growth trajectory.
Currently, the company is accelerating its global expansion, having already established a presence in the United States, Thailand, and Vietnam.
【Responsibilities】
The company's product consists of a core data platform and specialized business applications that leverage that data, providing opportunities to apply machine learning and data science to both areas. The primary objective of this role is to drive data utilization through advanced analytics, directly translating into enhanced product value.
You will be expected to leverage the company's data by applying robust verification techniques to explore new technologies, utilizing advanced modeling skills to deliver tangible product value, and contributing to stable, team-based system development.
Below are examples of potential responsibilities. Actual duties are not limited to this list and will be finalized upon joining the company, taking into account your technical background, expertise, and experience.
【Example Responsibilities】
・ Prototyping and PoC for New Products
You will rapidly execute the following processes to reduce technical and use-case uncertainty, directly translating concepts into product implementation:
Problem Discovery & Solution Proposal: Aim to resolve complex bottlenecks within manufacturing workflows by working in lockstep with designers, product managers, and domain experts. Through user interviews and deep-dive discussions, you will isolate core issues and plan technical approaches rooted in cutting-edge tech, such as LLMs and mathematical optimization.
Prototyping & Proof of Concept (PoC): Execute PoCs based on the planned initiatives. You will build rapid prototypes using lightweight UI tools like Streamlit, gather direct feedback from on-site users, and run fast feedback loops to validate effectiveness and make improvements. Concurrently, you will leverage any and all analytical resources necessary to solve technical roadblocks that arise during this phase.
The Vision
Over the next few years, the company plans to launch a wide array of new applications globally on top of this platform.
Each of these applications holds enough market potential to operate as a standalone startup. By seamlessly integrating them, the company aims to build a comprehensive ecosystem that redefines the manufacturing industry.
Realizing this grand vision requires overwhelming drive and leadership. The company is looking for team members in this challenge: taking software born in Japan and establishing it as the global standard for a massive international market.
【Key Experiences & Growth Opportunities】
・Driving Major Industrial Impact: You can experience the profound fulfillment of utilizing AI to directly solve massive bottlenecks within the manufacturing sector. By working closely with client companies facing critical operational challenges, engineers will formulate hypotheses, execute rigorous verification loops, and refine product features to deliver tangible solutions.
・Full-Stack Skill Acceleration: This position involves the end-to-end lifecycle of product development—from initial ideation and PoC prototyping to product implementation and long-term operations. This holistic exposure allows individuals to experience the entire product development process and sharpen their expertise across a broad technical spectrum, encompassing machine learning, optimization algorithms, UX design, frontend/backend engineering, MLOps, and LLMOps.
・Shaping Greenfield Product Launches: Application development on the company's Manufacturing AI Data Platform is still in its infancy. Joining as a founding member of a small, highly elite team gives individuals a direct hand in shaping the engineering organization and technical strategy, paving a clear career path toward future Tech Lead or Engineering Manager roles.
【Development Environment】
Languages
Frontend: TypeScript
Backend: Rust, TypeScript, Python
Frameworks and Libraries
Frontend: React, Next.js, WebGL, WebAssembly
Backend: Rust (axum), Node.js (Express, Fastify, NestJS), Python (FastAPI, PyTorch)
Infrastructure: Google Cloud, Google Kubernetes Engine, Anthos Service Mesh
Databases and Data Warehouses: CloudSQL (PostgreSQL), AlloyDB, Firestore, BigQuery
APIs: GraphQL, REST, gRPC
Monitoring: Datadog, Sentry, Cloud Monitoring
Environment Setup: Terraform
CI/CD: GitHub Actions
Authentication: Auth0
Development Tools: GitHub, GitHub Copilot, Figma, Storybook
Communication Tools: Slack, Discord, JIRA, Miro, Confluence
-------------【 Requirements】-------------
【Required】
5+ Years of Experience in Machine Learning Model Development and Data Science
・The company requires deep knowledge and extensive experience in machine learning and data science to resolve clients' management challenges and technical uncertainties in product development.
Strong Interest in Product Management
・Candidates must demonstrate a mindset focused on outcomes rather than mere outputs when determining how to apply technology.
Fluent Business Communication Skills in Japanese
・Professionals must be able to conduct all daily operations entirely in Japanese, including written text communication and meetings.
・The role involves frequent touchpoints with customers and stakeholders using Japanese, such as conducting user interviews (e.g., JLPT N1 proficiency standard, or approximately 3 years of work experience in a Japanese-speaking environment).
【Preferred】
Experience deploying and operating machine learning models in products
Experience in product management for ML-driven products or equivalent roles
Experience applying numerical optimization techniques to solve business challenges
Experience continuously improving and delivering machine learning and data science models
Experience managing experiments in proof-of-concept (PoC) projects
Experience in ML project management or leading an ML team
Experience with GPU-based data processing (CUDA, OpenCL, cudf, CuPy, etc.)
Experience selecting technologies and designing and building the architecture for an entire service
Experience winning multiple awards in data analysis competitions such as Kaggle
Experience developing web services involving both front-end and back-end components; experience in the development and operation of distributed systems
【Ideal Applicants】
Empathy with the company's mission and vision.
Demonstrates a strong appetite for learning and a proactive attitude toward taking on unfamiliar technologies and domains.
Highly motivated to continuously update and expand technical knowledge required for ML and MLOps.
Focuses on addressing root issues and takes personal ownership to drive concrete solutions.
Possesses a positive attitude and the ability to execute tasks through constructive discussions within fast-paced, highly uncertain environments.
Communicates and debates with mutual respect, showing careful consideration for the background context and level of understanding of others.
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【Working Time 】
Flextime System
【 Welfare 】
・Full social insurance
・Commuting allowance (up to 30,000 yen)
・Vacation (summer vacation, year-end and New Year's vacation, refreshment vacation, bereavement vacation, etc.)
・Subsidies (moving subsidies, child allowances, marriage congratulation money, etc.)
・Medical checkups
・Office medicine
・Office convenience store
・Learning support (book purchase system, language learning support, manufacturing experience, external training support, etc.)
・Company-wide awards
・Club activities
・Engineers can apply for a PC and display with their desired specifications.
※The maximum amount is 400,000 yen, within which you can also purchase accessories for the PC.
※The PC replacement cycle should be at least two years.
【 Holiday 】
- Saturday/Sunday/National Holiday
- Annual Paid Leave
- New Year Holiday
- Special Paid Leave
- Congratulations & Condolence Leave
- Bereavement Leave
- Refresh Leave
- Summer Holiday