Machine Learning, Engineer, Human Centered AI
EmployeeJob Overview
TEAM
Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.
We do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services. This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.
For more information about Woven City, please visit: https://www.woven-city.global/
WHO ARE WE LOOKING FOR?
We are looking for experienced Machine Learning engineer/Data Scientist with strong expertise in Large Language Models (LLMs), to design and implement autonomous human-centric AI systems with a particular focus on challenges of the Japanese language and cultural context.
Our daily tasks include technical R&D, proof-of-concept (POC), system design, agentic workflows design, LLM fine-tuning and evaluation, inference optimization, and etc. Skills in modern software development and solid experiences in developing real-time, production-grade systems are necessary.
This position reports to the function leader and offers a hybrid work arrangement. Additionally, there are business trips to Woven-City several times a month.
RESPONSIBILITIES
- Design and develop scalable LLM-based solutions for human interaction AI systems
- Collect, curate, and prepare datasets for LLM product/services development
- Make technical judgment and architectural decisions while working with cross-functional teams
- Build and optimize ML/LLM pipelines from data ingestion to automated model serving
MINIMUM QUALIFICATIONS
- Master’s degree in Computer Science or a related field, or equivalent industry experience building complex AI systems
- Strong experience in machine learning and the framework (e.g. PyTorch, HuggingFace ecosystem, etc.)
- 4+ years of hands-on experience with Large Language Models and NLP technologies
(e.g., transformers, prompt engineering, fine-tuning, embedding models) - Business level skills in English and professional proficiency in Japanese sufficient to evaluate model outputs, curate datasets, and understand regional nuances. Native status is not required.
NICE TO HAVES
- Experience in product development using LLMs (i.e. AI-assistants, chatbot, conversational AI systems, etc.)
- Higher motivation for catching up with the latest technologies
- Quick implementation skills from the the latest research papers
- Experience with multi-modal models combining text, vision, speech, or behavioral data
- Familiarity with model optimization techniques (quantization, distillation, inference acceleration)