Machine Learning Engineer
In an R&D project to solve client needs with image AI technology, you will be responsible for the following tasks in cooperation with project members under the guidance and management of the Tech Lead. - Research and development of image recognition technology using machine learning as typified by deep learning (mostly implemented in Python + PyTorch) - Gathering information on the latest technologies using international conferences/arXiv - Open implementation/Verification of the latest technology using GitHub. Department Information - Mentor system is available for consulting on projects and discussing papers with university professors. - We have a mentor system with a university professor who can consult with you on your projects and discuss your papers with you.
- At least 3 years of research and development experience (including university and graduate school research) in the area of image recognition and machine learning. - Software coding skills (Python, C++, PyTorch, TensorFlow/Keras, etc.) - Ability to read and collect information from English papers and articles. - Communication skills in Japanese (native Japanese speaker or JLPT N3 equivalent or above)
- Experience in submitting and presenting papers at international conferences and in domestic and international journals - Ph.D. - Experience participating in and winning prizes in Kaggle and competitive programming - English proficiency to conduct business (meetings, presentations, etc.) in English(As a guide, TOEIC score of 700 or above)
- Those who are interested in innovative technologies and services based on cutting-edge AI technologies such as ChatGPT and Stable Diffusion, and are excited to be the first to try them out and explore their use in the world. - Those who are interested in creating better rules without sticking to the existing ones.
- Infrastructure: GCP, Azure, AWS - Language: Python, C++ - Libraries: PyTorch, TensorFlow/Keras - PC: Windows, Mac - Other: Docker, GitHub