Computer Vision Research Engineer

Responsibilities:

• Join research initiatives to develop innovative computer vision algorithms and techniques

• Design and implement state-of-the-art computer vision models and systems

• Conduct experiments and evaluations to assess the performance of developed algorithms

• Collaborate with cross-functional teams to integrate your computer vision solutions into our products and services

• White patents for your algorithms (when necessary)

Requirements:

• MSc. or equivalent experience in computer science, electrical engineering, or a related field

• Hands-on research experience in computer vision, with a focus on areas such as computational photography, image/video restoration, image/video processing, object detection, scene understanding (incl. segmentation, motion, depth, camera pose, etc.), efficient neural network architectures, camera systems, vision foundation models, large vision-language models, diffusion models, NeRF, realistic synthetic simulation and real-world dataset construction

• Strong programming skills in languages such as Python or C++

• Proficiency in deep learning frameworks such as PyTorch

• Experience with computer vision libraries and tools such as OpenCV

• Excellent problem-solving and analytical abilities

• Good grades for core, relevant courses

• Strong communication skills and ability to work effectively in a collaborative team environment

• High level of resilience to tackle challenging problems and flexible to adjust in a fast-moving field

Preferred Qualifications:

• Experience with computational photography, events cameras, or video processing

• Experience in developing and deploying deep learning models to edge devices

• Publications in top-tier computer vision conferences or journals

Benefits:

• Competitive salary

• Opportunity to work on challenging problems at the forefront of computer vision research

• Opportunity to deploy algorithm to our flagship mobile phones to have real-world impact for millions of users

• Dynamic and collaborative work environment.

Apply Here!