Senior CV Engineer

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Computer Vision (CV), Data science techniques, Image processing, LiDAR, Machine learning techniques, Python Programming

Job Description

Constructor is an all-in-one platform for education and research. With expertise in machine intelligence and data science, Constructor is built to cater to the needs of schools, higher education, corporate training, alternative credentials, and professional sports, offering solutions for teaching and administration, learning and research. 

From infrastructure to applications, Constructor elevates learning experiences, empowers educators, and drives research breakthroughs.

Our headquarter is situated in Switzerland. Also we have entities in Germany, Italy, Bulgaria, Serbia, Turkey, and Singapore.

Duties & Responsibilities:

• Develop, test, and deploy generative neural network models to replicate user appearance from pre-recorded videos or other types of data.
• Use a range of modeling techniques including 3D reconstruction, face alignment, face reidentification, object detection, 3D object detection, tracking, and pose estimation.
• Work with a variety of data types such as RGB, IR, DEPTH, and 3D CGI/MESH in the development and testing of models.
• Collaborate closely with the R&D team to design and implement advanced algorithms in the fields of machine learning and artificial intelligence.
• Contribute to our upcoming research and development.
• Maintain and optimize the existing codebase for peak performance.
• Stay current with the latest developments in the field and identify potential areas of application to our projects.

Qualifications & Experience:

• A master’s degree in Computer Science, AI, Machine Learning, or a related field. An advanced degree is preferred.
• Proven experience as a Machine Learning Developer.
• Solid understanding of computer vision and image processing techniques.
• Proficiency in programming languages used in the field, particularly Python.
• Strong knowledge of generative neural networks.
• Experience with various modeling techniques such as 3D reconstruction, face alignment, face reidentification, object detection, 3D object detection, tracking, and pose estimation.
• Familiarity with different data types such as RGB, IR, DEPTH, and 3D CGI/MESH, with hands-on experience with IR and depth sensors like LiDAR, Kinect, or Time-of-Flight (ToF) cameras.
• Good understanding of machine learning principles and algorithms related to computer vision and image analysis.
• Exceptional problem-solving skills and the ability to work both independently and as part of a team.