★AI Engineer / AI Company / Seconded to a Major Subsidiary

• Business Level Japanese Required (N2 Level)

◆ Listed Company

◆
Hybrid Work

◆ Global Business

◆ Great Welfare

◆ Annual Salary: 6.5 million ~ 12 million yen.

【About the company】

Business Overview.

Development and provision of advertising delivery platforms for Internet media

(2) Providing marketing support services for advertisers and advertising agencies

They support the development and introduction of the marketing automation system, the CRM/SFA and the chat tool.

[Specifically...]

In the realm of ad technology and digital marketing, they use cutting-edge technology to independently develop products that help our clients maximize their revenues.

In particular, they are focusing on platform business, which analyzes users' access to ad spaces in web media and smartphone applications and delivers the most appropriate ads in a real-time auction format.

In fiscal 2016, the core business expanded to the No. 1 scale in Japan.

In addition, they have developed six products in-house: "SSP," "DSP," "DMP," "Marketing Automation," "CRM/SFA," and "Chatbot" for domestic and overseas markets.

As of June 2019, they have six overseas offices in five countries, including Singapore, Vietnam, Indonesia, Thailand, and India. Even in rapidly growing Asia, we are working to maximize advertising revenue for local companies by leveraging Japan's advanced technological capabilities.

Going forward, they will continue to lead the field of ad technology both in Japan and abroad, and take on the challenge of exploring unknown areas.

【 Job Description】

【Responsibilities】

You will lead the development of generative AI technology.

In addition to GPT prompt engineering, you will be responsible for determining what is and is not possible for image and voice recognition and general AI (NN and Classifier), as well as actual implementation.

●Specifically

Lead the development of generative AI technology

Manage overall project progress and lead team to develop generative AI technology

Research papers and model building

Research the latest research papers, design new models based on existing AI models, and perform structural transformation

Development Implementation and Acceleration

Implement developed models and apply acceleration techniques to optimize performance

Solution Provision

Provide AI solutions tailored to client needs and apply them to real business problems

Verify and improve results

Validate results on actual customer data and real-world environments to improve models

Investigation and evaluation of new technologies

Investigate and evaluate new AI technologies and promote implementation as needed

【Development environment】

Language Python (framework), TypeScript / React / (front-end)

Infrastructure GCP (containers / K8s), Docker

Tools Slack, Confluence, Jira, Google Workspace, GitHub, etc.

Work environment Mac (Apple Silicon), dual monitor support, in-house GPT tools, AI assistants such as GitHub Copilot available

【 Requirements】

【Required】

Expertise in computer science, artificial intelligence, machine learning or related fields, with in-depth knowledge of the Generative AI domain

Advanced programming skills in Python and practical experience with deep learning frameworks such as Pytorch and Tensorflow

Experience designing and implementing algorithms based on current research papers in the field of computer vision or natural language processing

Experience developing original algorithms in research projects and presenting them at conferences and in journals

Experience in applying research results to real-world products and improving performance

Experience in analyzing specific technical problems and proposing and implementing concrete solutions in actual projects

【Preferred】

Experience in the development and application of image generation models and LLMs

Experience in submitting and presenting papers in the fields of computer vision, natural language processing, etc.

Experience in applying DL and machine learning techniques to real products, knowledge in building infrastructure and around the web, etc.

【Working Hours】

10:00~19:00

【Holidays/Leave】

・Full holiday 2 day system (Saturday / Sunday) holidays

・Annual paid leave

・New Year Holiday

・Summer Holiday

・Winter Holiday

【Welfare】

・Book purchase subsidy (up to 30,000 yen per half year)

・Refreshment allowance (up to 5,000 yen per month)

・Rent allowance

・Support system for acquiring qualifications and languages, and support for attending training courses (individual application required)

・Working parents' support system

・Refreshment leave system

・Club activity allowance

・Other in-house events (monthly get-togethers, etc.)

・Use of Kanto IT Software Health Insurance Association's recreational facilities, affiliated sports clubs, etc.

・Regular health checkups (once a year)