Ubenai by Toyota is seeking a Backend/Applied Machine Learning Engineer to develop and operate machine learning models for traffic safety and efficiency. The ideal candidate will have expertise in machine learning models, a strong understanding of their structure, and experience in production environments.
Requirements
- Bachelor’s degree in machine learning, data science, statistics, computer science, or a related field
- Commercial or equivalent system development experience using programming languages such as Python, and frameworks such as PyTorch, TensorFlow, and scikit-learn
- Practical experience in the machine learning field, including software technology selection, requirement analysis, design, implementation, operation, and improvement
Benefits
- Competitive compensation based on experience
- Flexible working hours
- 20 days of paid annual leave
- 6 days of sick leave
- Weekends, holidays, and other designated days off
- Social insurance (health insurance, pension insurance, employment insurance, etc.)
- Housing allowance
- Retirement benefits
- Rent car support
- In-house training system (software learning, language learning)