Assist in planning classes, supporting teachers, and managing recordings for educational materials.
About this role
Dwango's education business is hiring a Planning and Development Engineer (TechPM / TechPdM) for ZEN Study and ZEN Compass, its coaching-support service for teaching staff, with a focus on using data. The team works on helping learners keep studying and on helping teachers support them efficiently, and this term emphasises personalised learning.
The role has two parts: identifying user problems and needs and prototyping solutions, and planning and directing feature development and quality work. The person researches the service and education trends, sets hypotheses and KPIs, runs user research, proposes development priorities, tests and prototypes new ideas, especially machine-learning ones, and directs development projects.
Applicants need computer science fundamentals, three or more years developing and operating machine-learning services or equivalent knowledge, and a wish to work in education. Experience with recommendation models, educational content metadata and two or more years with GCP or AWS 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This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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
Responsible for planning, producing, and managing English learning content for high school students, collaborating with schools to enhance student learning experiences.
This role involves promoting IT solutions to address challenges in education and business environments, from problem setting to execution.
Work with professionals across engineering, business planning, design, and corporate functions on energy and technology projects. At least three weekdays and four hours per day are required.
Develop supplement formulations, coordinate prototypes and manufacturing scale-up, and prepare scientific reviews and function-claim filings with partner companies.
Create AI and DX learning materials, quizzes, and Python exercises; answer learners’ questions by chat, review machine-learning code, and automate workflows with Python, GAS, and GitHub Actions.