Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
ByteDanceJoin the Innovative BytePlus Team! As part of BytePlus, you will help enterprises and AI-native developers build the next generation of their businesses. By leveraging ByteDance’s cutting-edge technologies in AI models, agent solutions, and cloud infrastructure, we are committed to developing innovative products and solutions that shape the future. We enable our clients to focus on what matters most, and you can play a key role in helping us achieve that mission. In Japan, we partner with leading enterprises across a wide range of industries to drive AI adoption from proof of concept (PoC) to scalable commercial deployment. Our goal is not only to showcase advanced technology, but also to help organizations create sustainable, measurable business value. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Individuals who are completing or have recently completed a Bachelor's / Master's degree in Artificial Intelligence, Computer Science, Engineering, Mathematics, Software Engineering, or a related technical discipline. - Strong software engineering fundamentals, with proficiency in Python preferred, and the ability to build and integrate applications through academic, internship, or personal projects. - Familiarity with Generative AI technologies, such as LLMs, RAG architectures, agent systems, or multimodal models. - Exposure to deploying applications in cloud or containerized environments, such as Docker, Kubernetes, or major public cloud platforms.
- Understanding of Transformer architecture fundamentals and prompt engineering principles. - Exposure to knowledge base systems and vector databases through coursework, internships, research, or personal projects. - Familiarity with common agent or AI application frameworks such as LangChain or LlamaIndex. - Understanding of inference optimization, latency considerations, and cost-efficiency in AI applications. - Interest in designing end-to-end AI systems with scalability and production readiness in mind. - Hands-on experience applying Generative AI or multimodal models through academic projects, internships, hackathons, competitions, or research. - Ability to connect technical solutions with practical use cases and business impact. - Strong learning agility, problem-solving skills, and the ability to work effectively in a cross-functional environment. - Good communication skills, with the ability to explain technical ideas clearly to both technical and non-technical stakeholders.
