Computer Vision Research Engineer
Full Time
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Zürich, Switzerland
/
Huawei
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.