AI/Deep Learning Engineer Intern, Computer Vision
AI/Deep Learning Engineer Intern (Computer Vision)
Location: Tokyo, Japan
Department: Engineering
Location Type: REMOTE
Employment Type: INTERN
About Us
At Tektome, we're at the forefront of technological innovation for the AEC industry. Our commitment is to drive excellence, push technological boundaries, and transform the AEC as a whole. We are a spin out of one of the first AI companies in Japan, Incubit. We're looking for dedicated professionals who share our passion and ambition. If you're a developer hungry forchallenges and eager to be part of a pioneering tech firm, Tektome is where you belong.
Role
We are looking for an AI/Deep Learning Engineer Intern to join our AI team.
Our team develops computer vision solutions for real-world applications, primarily related to infrastructure inspection.
As an intern, you will work closely with an experienced engineer to research, train, evaluate, and improve deep learning models for challenging computer vision problems. Depending on the project, you may also help integrate models for production use.
This internship offers hands-on experience with the full machine learning workflow, including data pre-processing, model training, experimentation, evaluation, post-processing, and deployment. You will contribute to solutions used by real customers while exploring advanced computer vision and deep learning techniques.
Responsibilities
- Research and develop deep learning solutions for computer vision tasks such as image segmentation, anomaly detection, scene reconstruction (3D point clouds), orthomosaic mapping, and measurement.
- Train, evaluate, and optimize deep learning models.
- Collaborate with an experienced engineer to deliver real world solutions.
- Assist with integrating AI models for production use where applicable.
- Present your progress and results to the team.
- Work in an international team to develop innovative solutions.
Essential Requirements - Must Haves
- Master's degree (completed or currently pursuing) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent practical experience.
- Experience developing, training and evaluating deep learning models.
- Proficiency in Python and experience with a deep learning framework such as PyTorch or TensorFlow.
- Familiarity with machine learning fundamentals.
- Familiarity with Linux and Git.
- Self-motivated with the ability to work independently, take initiative, and proactively drive tasks forward.
- Professional proficiency in English.
Desirable Requirements - Nice to Haves
- Experience with computer vision tasks such as image segmentation or object detection.
- Experience with Docker.
- Experience deploying deep learning models is a plus.