Principal AI Research Scientist - Computer Vision

Full Description

Our client, a cutting-edge AI research lab dedicated to pushing the boundaries of artificial intelligence, is seeking a world-class Principal AI Research Scientist specializing in Computer Vision to join their pioneering, fully remote team.

This senior role is crucial for driving innovation in image and video analysis, object detection, segmentation, and scene understanding.

You will lead researchinitiatives, develop novel algorithms, and contribute to state-of-the-art AI models that have the potential to transform various industries.

The ideal candidate possesses a Ph.

D. in a relevant field, a strong publication record in top-tier AI conferences, and extensive experience in deep learning for computer vision.

Key Responsibilities: Lead and conduct advanced research in computer vision, including deep learning-based approaches for image recognition, object detection, segmentation, and tracking.

Develop novel algorithms and models that advance the state-of-the-art in computer vision.

Design and implement experiments to validate research hypotheses.

Analyze and interpret large-scale visual datasets.

Collaborate with other AI researchers and engineers to integrate research findings into practical applications.

Publish research results in leading AI conferences (e.g., CVPR, ICCV, ECCV) and journals.

Mentor junior researchers and contribute to the team's technical growth.

Stay abreast of the latest research trends and breakthroughs in AI and computer vision.

Contribute to patent applications and intellectual property development.

Present research findings to internal teams and external stakeholders.

Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a specialization in Computer Vision.

Minimum of 7 years of post-doctoral research experience or equivalent industry experience in AI/ML research.

A strong publication record in top-tier computer vision and machine learning conferences and journals.

Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Proficiency in programming languages like Python, C++.

In-depth knowledge of various computer vision tasks and corresponding state-of-the-art techniques.

Experience with large-scale dataset management and processing.

Excellent analytical, problem-solving, and research design skills.

Strong communication and presentation skills, suitable for leading remote research discussions.

Ability to work independently and drive research projects to completion in a remote setting.

This fully remote position offers the ultimate flexibility to contribute to groundbreaking AI research, shaping the future of how machines perceive and interpret the visual world.