Build AI Worker VoiceAgent’s web frontend, designing visual interfaces and admin features, selecting architecture, and delivering releases with TypeScript and React in a hybrid office/home role.
About this role
CyberAgent runs an open position for Machine Learning Engineers and Data Scientists, and the company proposes the best-fitting role through selection based on each applicant's experience, skills and career goals. Teams that may use them include Media and IP (ABEMA, Ameba, Tapple), Game and Entertainment (SGE) and Internet Advertising and AI.
Typical work is solving business problems with the data held across the businesses: collecting, analysing and modelling large data, building products with recommendation, natural language processing and image recognition, optimising personalised delivery and content recommendation on ABEMA, analysing user behaviour and building matching algorithms for games, building prediction and bidding-optimisation models for advertising, designing shared data platforms and researching new machine-learning methods.
Applicants need business-level Japanese, two or more years of data analysis, machine learning and statistics, data processing in Python, R or SQL, experience with frameworks such as TensorFlow, PyTorch or scikit-learn, and the ability to move from problem setting to solution. Large-scale data processing (Spark, Kafka), cloud development and recommendation or ad-optimisation experience are preferred.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Advise clients on data strategy, build DWH and BI foundations, and use SQL, Python, machine learning and CRM analytics to improve marketing, forecasting and business operations.
Lead requirements definition and delivery of client-specific AI agents for advertising and marketing, coordinating stakeholders and supporting clients’ AI transformation in a hybrid Tokyo role.
Leads design and delivery of a new Go-based corporate card platform, covering public APIs, multi-tenant architecture, performance, security, testing, and operations.
As a Senior Solution Engineer, you will collaborate with sales teams to understand customer needs and support the sales cycle with compelling demonstrations.
Lead client technology across mobile-app projects, resolve crashes and payment issues, improve platforms and CI/CD, review code and manage engineer development.