AI Creative Machine Learning Engineer

CyberAgent

ML

Vision

GenAI

Python

About this role

CyberAgent's AI Business Unit builds Kiwami Yosoku AI, a core product that predicts the advertising effect of creative at the production stage, recommends materials and layouts, generates images, video and ad text with in-house language models and ChatGPT, and scores effect before an ad runs. The product aims to raise the quality, volume and speed of ad creative and the productivity of creators. Each product team has ten to fifteen developers and five to ten business members, with one to four machine learning engineers, and engineers have discretion over analysis flow and experiment design.

The engineer designs and improves offline and online metrics for the effect-prediction models, researches and develops tools using large language models and generative models to support creative production, designs and tests new features for multimodal data such as images, video, text and audio, and finds problems and proposes fixes from feedback from creators and other users.

Applicants need experience developing with image processing, implementing machine-learning algorithms on their own, and analysis, modelling and visualisation in Python, and the ability to analyse and propose with an understanding of the business.

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