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Company Name

CyberAgent, Inc.

Job Type

[AI Business Division] Machine Learning Engineer (NLP)

Work Detail

■ Job Description You will contribute to product revenue by automatically generating text and utilizing our company's strengths, obtaining evaluation data (such as delivery performance and click-through rates) after the generated text is delivered. This data will help you make improvement proposals and increase product revenue. - Automatically generate direct ad text (= direct copy). Direct ads directly encourage viewers to purchase products, so in addition to grammatical accuracy, the text must also be catchy, eye-catching, and reflect the product's characteristics. - Automatically generate titles and descriptions for search-related ads using reinforcement learning. - Automatically generate catchy slogans for banner image ad text. - Create models based on evaluation data of advertising effectiveness (such as click-through rates) delivered by CyberAgent. (https://www.cyberagent.co.jp/news/detail/id=22132) - Collaborate with joint research partners. (https://cyberagent.ai/ailab/partnership/)

Ideal Profile

◎ Development experience using natural language processing ◎ Experience independently implementing machine learning algorithms, etc. ◎ Experience with analysis, model creation, and visualization using Python, etc. ◎ Ability to analyze and propose based on understanding the business [Preferably] Any of the following should apply: ◯ Experience developing a recommendation system ◯ Development experience in ad delivery optimization ◯ Paper submissions, paper presentations, and seminar presentations both domestically and internationally ◯ Experience proposing business ideas based on data analysis

Work Location

150-6121 Shibuya Scramble Square 22F, 2-24-12 Shibuya, Shibuya-ku, Tokyo

Phd. Stating Salary

Negotiable. We will give preferential treatment according to our company regulations, taking into consideration experience and ability.

External Site

https://hrmos.co/pages/cyberagent-group/jobs/0000178

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