About the Job
Technology Innovation Institute (TII) is a global independent research and development institute dedicated to transforming research into pioneering technology solutions. The Artificial Intelligence Cross-Center Unit at TII serves as the machine learning powerhouse, collaborating with various research centers to harness the full capabilities of AI, driving innovation across diverse sectors, including technology, healthcare, cybersecurity, and government.
We are seeking a Principal Researcher in Computer Vision to lead a team in the creation, adaptation, and enhancement of algorithms for various computer vision applications, including vision-language models. The selected candidate will collaborate with researchers and engineers to develop cutting-edge solutions and ensure that TII remains a pioneer in computer vision technologies.
Responsibilities
- Design new methods or adapt existing ones to tackle challenging problems in sensing and perception applications across various domains.
- Formulate novel concepts and research thrusts to underpin future product roadmaps.
- Guide prototype development by engaging with end-user communities and industry/academic partners for technology maturity.
- Lead initiatives to assess the current state-of-the-art in Computer Vision and Machine Learning across industry and academia.
- Establish and maintain standards of excellence and best practices, identifying strategic opportunities for differentiation.
- Mentor and coach computer vision scientists and engineers.
- Present research findings to customers, collaborators, and the research community through papers, reports, and demonstrations.
- Generate proposals for new projects.
Qualifications and Experience
- A PhD in computer science, mathematics, or a related field.
- Over 12 years of relevant experience in computer vision.
- In-depth understanding of computer vision and artificial intelligence.
- Proficiency in Python programming.
- Proven experience with frameworks such as TensorFlow, Keras, or PyTorch.
- Contributions to the field through patents or publications in leading conferences/journals (e.g., CVPR, ECCV, ICCV, NIPS).
- Participation in machine learning competitions, such as Kaggle, is a plus.
If you are passionate about advancing AI technologies and making a significant impact in the field, we encourage you to apply and help us shape the future of AI!
