AI Scientist Intern developing and implementing models for healthcare solutions. Collaborating with AI teams to drive data - driven decision making.
About the role
- AI Research Scientist developing advanced technologies related to multimodal models at Mercari's R4D team. Collaborating on machine learning and computer vision projects that impact e-commerce platforms.
Responsibilities
- Research and develop new technologies related to multimodal foundation models and generative AI, including computer vision and natural language processing (NLP).
- Design and execute large-scale model training and conduct performance evaluations across multiple benchmarks.
- Develop prototypes for new algorithms and present research results both internally and externally.
- Collaborate with researchers, engineers, and business teams to research and implement advanced technologies for next-generation AI services.
Requirements
- Ph.D. in Computer Science or a related field, or equivalent professional experience.
- Practical experience in computer vision or multimodal learning within the field of machine learning or generative models.
- Record of publications in top-tier conferences or journals such as CVPR, ICCV, ECCV, or NeurIPS.
- Development experience using general-purpose programming languages such as Python or C++.
- Experience using machine learning frameworks such as PyTorch or TensorFlow.
- Familiarity with modern development tools and cloud environments, including Git, Docker, AWS, or GCP.
- 3+ years of professional experience in software or research and development fields.
- Experience training Large Language Models (LLMs) or Large Vision-Language Models.
- Implementation experience in supervised learning, self-supervised learning, reinforcement learning, or graph learning, including pre-training and fine-tuning techniques.
- Experience in building large-scale datasets.
- Experience with Retrieval-Augmented Generation (RAG) and large-scale model deployment.
- Experience in designing and operating distributed learning environments or training pipelines.
- Business-level Japanese proficiency, with smooth reading, writing, and listening skills.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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