ML Engineer Data Scientist
Job Summary
You will develop next-generation learning products using machine learning, statistical modeling, and large-scale language models. The role involves analyzing learning behavior data and researching individually optimized AI learning systems. You will collaborate with international teams to design and implement innovative educational technologies.
Responsibilities
- Analyze text and sensor data
- Build text generation and AI learning systems
- Develop behavior modeling using Bayesian statistics
- Collaborate with international development teams
Required Skills
- 2+ years ML/Data Science experience
- NLP/Large Language Models expertise
- Business English proficiency
- Conversational Japanese (N3+)
- Graduate degree
Job Details
■Specific Job Responsibilities
・Analysis and reporting of text and sensor data
・Semantic analysis using large-scale language models and pre-trained models
・Building and evaluating text generation systems
・Developing user behavior modeling and state estimation models using Bayesian statistics and machine learning
・Developing AI systems to generate individually optimized curricula tailored to learner characteristics
・Collaborating with overseas development teams to refine product design and technical specifications, implement, and verify them
■Rewarding Features
・Using machine learning and statistical modeling to create experience-driven products
・Environment where you can see the results of your work being released and used in the market
・Involved from the requirements definition and design stages, and actively involved in technical proposals and verification
・Collaborating with overseas development teams and participating in technical discussions in English
■Required Requirements
・Graduate school graduate or above
・2+ years of experience as a machine learning engineer or data scientist
・Development experience using natural language processing technology or large-scale language models
・Experience in technical discussions and meetings in English, or business-level English proficiency
・N3 or above, or conversational Japanese proficiency
■Preferred Skills and Experience
・Experience in signal processing/time series analysis from sensor data
・Experience applying Bayesian statistics to business applications
・Experience using computer simulations