About Woven by ToyotaWoven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all. ========================================================================= TEAMToyota 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 FORWe are looking for experienced Machine Learning engineer/Data Scientist, to analyze various data such as human demographic, psychographic, photos, essays and others. Our daily tasks include technical R&D, proof-of-concept (POC), system design, infrastructure design, system integration for model inference, building service pipelines, and etc. Skills in modern software development and solid experiences in developing real-time systems are necessary .
RESPONSIBILITIES:
Research, develop, and demonstrate human simulation AI PoC
Collect data and develop machine learning product/services, (build, verify, and deploy models)
Make technical judgment in working with cross-functional teams
Build and optimize ML pipeline from data curation to automatic model serving
MINIMUM QUALIFICATIONS:
Master’s degree in Computer Science or a related field
Strong experience of machine learning and the framework (e.g. tensorflow, pytorch, Computer vision libraries, NLP libraries, etc.)
Experience in system architecture and infrastructure design on Cloud i.e. AWS services, EKS, etc.
Business level skills of English and Japanese
NICE TO HAVES:
Experience in product development using machine learning. (i.e. recommendation, sales forecast, AI-assistant bot, etc.)
Higher motivation for catching up with the latest technologies
Quick implementation skills from the the latest research papers
Experience in natural language, vision, speech, behavior data processing.
=========================================================================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.
