Career counseling Jobs for Ph.D.
Service
Career counseling
One-on-one career counselingwith a Ph.D. mentorwith academic and/or business experience

Jobs for Ph.D.
You can search for jobs at companies that highly value Ph.D. holders by research or technology keywords.

Settings & Others
Switch Language
Contact
Job Search

Recruit Detail

Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.

Company Name

Toyota Motor Corporation

Job Type

Technical personnel responsible for the strategy, technology, and infrastructure phases in the AI ​​and data science fields (strategy/data science/AI development/cloud infrastructure)

Work Detail

[Features] Our department handles the entire AI and data science field, from: ① Strategic planning for company, industry, and social challenges ② AI rule-making, research and development, and elemental technology development ③ Value creation through data science/AI ④ Cloud/development infrastructure supporting value creation projects We are committed to continuously generating value by applying AI and data science to actual work and projects, not just research and elemental technologies. We are broadly recruiting individuals who can demonstrate expertise in each phase. [Job Description] [Overview] We consistently promote value creation utilizing AI and data science, from strategic planning to implementation and operation. Depending on your experience and preferences, you will be responsible for one or more of the following areas. *This recruitment does not require you to handle all of the following areas alone. Depending on your experience and preferences, you will be responsible for one or more of the following areas. [Details] * Project leader or manager for AI/data science strategy planning * Company-wide/organizational strategic consideration and system development for AI/data science * Business architecture design including organizational transformation and talent strategy from a medium- to long-term perspective * AI engineer or project leader for AI rulemaking, element development, and element technology development * Consideration of governance, rules, and standards related to AI utilization * Research and development of AI models * Research and development of AI element technologies (learning models, data infrastructure, etc.) * Promotion of AI literacy improvement and internal deployment * Projects for problem solving and value creation utilizing AI and data science Project Leader - Data analysis and model building for business/operational challenges - Prediction and optimization using machine learning and deep learning - Project promotion and team leadership - Technical leader for designing and developing the cloud/AI utilization platform supporting the project - Designing, building, and operating the cloud platform to streamline AI utilization/data science projects - Development of infrastructure and common functions utilizing the latest technologies such as generative AI - Research and consideration of the introduction of the latest cloud and AI technologies [Background of Recruitment] Amidst the rapid evolution of new technologies, the company is challenging itself to confront and transform itself using IT technology as a starting point. In this situation, diverse perspectives, technologies, and experiences are important, and the background is that we want you to drive company transformation with unprecedented perspectives and technical capabilities.

Ideal Profile

Candidates must have the following experience: * At least 3 years of practical experience in one of the areas described in the job description. * Sufficient expertise and practical experience (at least 3 years) in one or more technical areas of machine learning, data science, or cloud computing. * Proficiency in programming languages ​​such as Python, R, and SQL. * Strong communication skills and ability to work in a team. The following are requirements for each area; it is not necessary to meet all of them. • Strategy and Planning Area • Experience leading company-wide transformations as a project leader at the company or headquarters level • Experience conducting collaborative research, development, and project execution with universities, venture companies, and government agencies • Communication skills with engineers and managers in English • AI Development Area • Experience implementing machine learning • Experience building applications using generative AI • Experience participating in international standardization activities related to AI • AI and Data Science Application Area • Experience building and operating database and data analysis infrastructure • Experience with deep learning in machine learning • Experience leading projects utilizing AI and data science • Cloud/AI Utilization Platform Area • Expertise equivalent to AWS Solution Architect Professional • Experience developing and operating projects in-house • Experience leading development to deploy core technologies to internal projects as a member of a platform team or AI promotion team

Work Location

Tokyo (Chiyoda Ward) Aichi Prefecture (Toyota City) Fukuoka Prefecture (Fukuoka City) Software Development Communications, Infrastructure, and Network Engineer AI and Data Science

Phd. Stating Salary

Expected annual income: ¥5,000,000 - ¥15,700,000

Selection Flow

STEP 01 | Application Please select and apply for one of the currently recruiting positions. STEP 02 | Document Screening We will conduct a document screening based on the information you registered. *Regarding the results, regardless of whether you pass or fail, we will contact you by email within two weeks. (However, please note that if there are many applicants, the selection process may take longer.) STEP 03 | First Interview + Aptitude Test Those who pass the document screening will be invited for an individual interview. The aptitude test is usually taken online at least three days before the interview date. *The selection process may differ depending on the job posting. *Regarding the results, regardless of whether you pass or fail, we will usually contact you by email within one week. (However, the number of days may vary slightly depending on the department.) STEP 04 | Final Interview Those who pass the first interview will be invited for an individual interview to confirm further details. STEP 05 | Final Interview Rejection Notification We will usually contact you by email within one week. (However, the number of days may vary slightly depending on the department.) STEP 06 | Job Offer After you agree to the presented employment conditions, you will receive a formal job offer. Those who receive a job offer will start working approximately 3 months after receiving notification of acceptance (within 6 months of the final interview date at the latest). (The start date is the 1st of each month.) *The start date will be adjusted in consultation with the applicant.

External Site

https://toyota-career.snar.jp/jobboard/detail.aspx?id=8dZH-TrnT9sHgm_tNxqQGA

Similar Recruits

Panasonic Corporation

Job Type
Research and Development (AI/ICT)

We create innovative products and services, providing our customers with optimal solutions that deliver new value. By combining AI and ICT technologies with our own technologies, we are driving new innovations in home appliances and living spaces, thereby realizing a healthier life for people, society, and the planet. [Job Description] - Research and development of recognition technology utilizing deep learning and machine learning - Development of electrical material control systems for comfortable environments utilizing human data (including vital signs) and environmental data - Development of system design technology for residential and office equipment-type system products - Development of intelligent home appliance technology - Development of big data analysis and data analysis technology (homes, equipment-type systems, factories) - Development of image recognition technology, etc. - Development of hardware and software technology, model-based development - Development of next-generation communication technology (device linkage, IoT) - Development of cloud systems, etc. [Desired Skills and Knowledge] - Knowledge of information engineering (software and programming) - Knowledge of system development - Knowledge of big data analysis - Individuals with proactive, independent action skills and a willingness to take on challenges [Main Work Locations] Tokyo (Minato-ku), Shiga Prefecture (Kusatsu City), Osaka Prefecture (Kadoma City, Moriguchi City), etc.

2027年卒

Splink Co., Ltd.

Job Type
AI research engineer leading research and development of image processing technologies necessary to solve medical challenges.

▼Role of an AI Research Engineer Our company delivers technology solutions in the brain healthcare field, covering all health phases from pre-onset to post-onset. We plan and develop a wide range of products, from data platforms that encourage preventative behaviors among healthy users (consumers) to medical device programs (SaMD) that deliver timely and appropriate medical services before and after the onset of dementia. As a young venture, our ability to deliver diverse products that solve societal problems through technology is solely due to the contributions of each member who shares our vision. We believe that the AI ​​Research Engineer will play a crucial role in further accelerating our business, building upon what we have accumulated since our founding. The main role of the AI ​​Research Engineer is to lead the research and development of image processing technologies necessary to solve medical challenges. In particular, the use of machine learning is considered promising in the field of brain image processing. We expect you to select the optimal image processing technology from the latest knowledge in image processing, including machine learning, and to take the technical lead in image processing technology during both the research and product development phases. ▼Specific Job Responsibilities [Immediately after hiring] - Development of image processing technology using machine learning to solve clinical problems - Technical leadership in collaborative research and product commercialization projects - Implementation of image processing engines in prototype software and programmed medical devices, and design and evaluation of evaluation methods [Scope of Changes] All duties as defined by the company

2027年卒

Mamezo Co., Ltd.

Job Type
[2027 New Graduates] DX/AI Consultant & Engineer

Job Description "Rewriting the future of business with technology." Upon joining the company, you will start your career as an "AI Consultant" or "AI Engineer," leading client transformations using AI and data utilization. This isn't simply about writing code. You will design the "mechanisms" from the ground up, how to solve clients' management challenges with technology, and lead projects that have a social impact. Exciting areas of work you can challenge yourself in: * Social implementation of cutting-edge AI (generative AI/LLM, etc.): Planning and proposing projects to improve corporate productivity by integrating the latest generative AI technology into business processes. * Full-stack system development: Experience the entire process from building AI models to designing and implementing systems to run them in society. * PoC (Proof of Concept): Verifying the feasibility of new technologies in areas where no one knows the right answer, and creating new businesses and services. * Building a foundation for data-driven management: Building large-scale data utilization platforms that support corporate decision-making, and providing data management consulting. * Exploring and Disseminating Technology: We constantly research evolving AI trends and share knowledge through internal study sessions, tech blogs, and academic conferences. You will take the lead in technology selection. * The Appeal of This Job: * "Authentic" Consulting Skills: Mamezo has top runners in a wide range of industries, including manufacturing, finance, and distribution, as clients. You can gain experience in projects from a perspective close to management from a young age. * An Outstanding Growth Environment: Senior employees with industry-leading technical skills will act as mentors, thoroughly teaching everything from the basics of data science to architecture design that works in practice. * The Joy of "Using Technology as a Means": We are not tied to specific products, and we have an environment where we can select the optimal technology for the customer on a level playing field. * Training and Learning Environment: We conduct a three-month new employee training program after joining the company, where you will systematically learn the basics of data science and machine learning. In the training, you will practically learn skills required in the field, such as data analysis using Python, the basics of statistics and machine learning, data engineering, and the use of cloud technology. After completing the training, you will participate in projects through on-the-job training (OJT). Examples of post-training assignments and projects: * Development of an AI risk management system for the financial industry * Design and construction of an IoT data analysis platform for the manufacturing industry * Data-driven management support project for a trading company * Development of anomaly detection AI utilizing image recognition * Design of data visualization dashboards utilizing BI tools Career paths: * Data Scientist: Design, development, and operation of advanced machine learning models * AI Engineer: Construction of data pipelines and MLOps environments * Data Utilization Consultant: Support for corporate data strategy planning and analysis

2027年卒