Work Location , Expected Annual Income :
Tokyo,8.5M ～ 12.0M
About the Company :
Software company
Responsibilities :
Job Description
Lead the design and development of machine learning systems, including batch processing, online learning, and client-integrated learning solutions.
Build and optimize scalable ML architectures using large-scale distributed data processing.
Develop and implement ML solutions tailored to specific business needs and services.
Standardize and utilize ML-related libraries, data pipelines, and intermediate data formats.
Collaborate across teams to drive forward machine learning initiatives and lead technical decision-making.
Combine media data (images, text, user behavior logs) to create recommendation engines and intelligent systems.
Support smooth project execution and assist team members in technical development.
Benefits :
Competitive company package
Full insurance coverage
Transportation
Required Experience / Abilities / Skills :
Qualifications
Strong foundation in machine learning, computer science, and mathematics.
Approximately 5 years of experience in designing and developing ML systems.
Proficiency in programming languages such as Python and Rust.
Hands-on experience with large-scale data (terabyte to petabyte) for feature engineering, model training, and performance evaluation.
Knowledge and experience with distributed systems (e.g., Apache Hadoop, Apache Spark, MPI).
Experience with high-QPS, low-latency ML APIs and microservice architecture.
Familiarity with federated learning, multimodal models, and recommendation systems.
Ability to analyze business challenges and propose ML-based solutions.
Development Environment
Languages: Python, SQL (Apache Spark), Rust, Go
OS: Linux
ML Libraries: PyTorch, Burn
Containerization: Docker, Kubernetes
Monitoring: Prometheus, Grafana, Sentry
CI/CD: Argo CD, GitHub Actions
Databases: Redis, MySQL, Apache Hadoop
Tools: Apache Airflow, GitHub Enterprise, Confluence, Slack, Jira