Job Description

We have an exciting opportunity in our perception team for software engineers and researchers with exceptional development/research skills in Computer Vision and Deep Learning. The primary responsibility of the Senior Computer Vision Researcher is to conduct independent research and development of core perception components within the agreed-upon scope and schedule as defined by the management team. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and embody our values.

Responsibilities

• Conduct independent research and development work on advanced computer vision components, such as semantic segmentation, scene understanding, object detection and 3D reconstruction.
• Provide leadership and mentorship to more junior software engineers, technicians and interns.
• Work hand-in-hand with all the key stakeholders and developers across the company contributing to computer vision components.
• Write maintainable, reusable code, leveraging test-driven principles to develop high-quality geometric vision modules.
• Troubleshoot and resolve software defects and other technical issues.
• Review individual developers’ code in the team to ensure the highest code quality.

Qualifications

• 2+ years of working experience in Computer Vision targeted to product development.
• Expert knowledge in Computer Vision and Deep Learning in the following domains:
  • Object Detection and Semantic Segmentation: Design and implement advanced algorithms for detecting objects and labeling semantics in 2D images and 3D data
  • 3D Geometry: Strong knowledge of 3D geometry concepts, such as multiview geometry, point cloud processing and working with depth data.
  • 3D Scene Understanding: Design and implement 3D scene segmentation algorithms based on depth, motion or texture data.

• Strong knowledge of Python
• Good working knowledge of C++ (programming and debugging)
• Strong knowledge in Deep Learning, particularly focused on semantic segmentation, object detection and 3D data with the knowledge of a deep learning framework (TensorFlow, PyTorch, etc.)
• Working knowledge of OpenCV is a plus
• Knowledge of 3D reconstruction concepts, such as structure from motion, pose estimation, and localization, is a plus
• Knowledge of working with meshes and 3D geometry applied to meshes is a plus

Education

• MS in Computer Science, Electrical Engineering or a related field (with a minimum of 3 years of relevant experience)
• Ph.D. is preferred (with a minimum of 1 year of relevant experience)

Additional Information

• All your information will be kept confidential according to Equal Employment Opportunities guidelines