Computer Vision Research Engineer

Computer Vision Research Engineer

Computer Vision Research Engineer

Computer Vision Research Engineer

Full Time

/

Zürich, Switzerland

/

Huawei

Full Time

/

Zürich, Switzerland

/

Huawei

Full Time

/

Zürich, Switzerland

/

Huawei

Full Time

/

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.

Apply Here!

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!

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!

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!