About the Company
Founded in 2014, this Tokyo-based AI startup has been at the forefront of AI innovation, evolving from document processing expertise to full workflow automation solutions. By combining cutting-edge AI with operational automation, the company enables businesses to extract critical information and trigger automated actions, driving efficiency and productivity.
The company culture emphasizes
ownership, collaboration, and meritocracy
, with high standards for technical excellence and ample opportunities for engineers to propose, own, and lead projects.
Job Title:
Machine Learning Engineering Manager
Job Summary
The ML Engineering Manager will lead and empower a diverse team of ML engineers and researchers, accelerating the creation and deployment of machine-learning solutions for real-world business problems. Reporting directly to the CTO, the manager will contribute to the product roadmap, guide technical execution, and foster team growth.
Responsibilities
- Lead and mentor a diverse team of ML engineers and researchers toward individual and collective goals.
- Foster team development and maintain organizational health.
- Collaborate with cross-functional teams to drive the product roadmap.
- Contribute to the full ML model lifecycle: data collection, labeling, model development, experimentation, training, testing, and production deployment.
- Ensure good coding and engineering practices to maintain a clean and maintainable codebase.
Required Qualifications
- 3+ years managing engineers, researchers, or scientists.
- Professional experience designing, implementing, training, and deploying ML models for business applications.
- Excellent collaboration and communication skills across departments and leadership levels.
- Business-level proficiency in
Japanese and English
.
Preferred Qualifications
- Knowledge of MLOps principles and DevOps practices (model/data versioning, large-scale model training and serving).
Tech Stack
- PyTorch, Docker, Knative, Kafka, Kubernetes, Nvidia Triton
- Cloud: Google Cloud Platform, AWS
- CI/CD: GitHub Actions
What We Offer
- Competitive salary and biannual performance bonuses
- Stock options
- Visa sponsorship (if required)
- Subsidized language training and gym membership
- Free in-office breakfast, coffee, tea, snacks
- Commuting allowance and full Japanese social security benefits
- Paid holidays up to 20 days/year, plus bereavement/congratulatory leave
- Maternity/childcare leave (for all genders)
- Annual health checkups
Working Conditions
- Full-time, permanent position based in Minato-ku, Tokyo
- Working hours: 9:00 a.m. – 6:00 p.m., 1-hour lunch break
- Holidays: weekends, national holidays, year-end/New Year holidays
- 3-month probation period
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