Machine Learning, Engineer, Human Centered AI

Posted 16 Days Ago
Be an Early Applicant
Tokyo, JPN
Hybrid
Senior level
Automotive • Software • Automation
The Role
Develop scalable LLM solutions for human-centered AI systems, curate datasets, make architectural decisions, and optimize ML pipelines. Collaborate within cross-functional teams.
Summary Generated by Built In
About Woven by Toyota
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

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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)

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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER
・Competitive Salary - Based on experience
・Work Hours - Flexible working time
・Paid Holiday - 20 days per year (prorated)
・Sick Leave - 6 days per year (prorated)
・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
・Housing Allowance
・Retirement Benefits
・Rental Cars Support
・In-house Training Program (software study/language study)

Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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The Company
Palo Alto, , California
1,679 Employees
Year Founded: 2023

What We Do

Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.

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