We are currently looking for an experienced Computer Vision Engineer to join our team with one of our clients. I would like to tell you a bit more about this position and learn a few things about you, as well. Title: Computer Vision EngineerLocation: (Remote Role)Full-Time Position Responsibilities: - Develop and adapt cutting-edge computer vision and deep learning techniques for tasks such as object detection, classification, and segmentation. - Conduct innovative research to advance machine perception technology and deepen understanding of image context. - Design and implement innovative real-time 3D scene understanding techniques. - Prototype techniques and algorithms for 2D/3D object detection and recognition. - Create tools and systems for human-in-the-loop data annotation to support model training.
Qualifications: - Minimum of 3 years of experience in computer vision or related fields, or a strong portfolio demonstrating technical prowess through impactful projects. - Proficiency in Python/C++ and familiarity with popular computer vision libraries such as OpenCV, TensorFlow, and PyTorch. - Solid grasp of image analysis, machine learning, information theory, and 3D geometry. - Expertise in deep learning frameworks and architectures, including CNNs, RNNs, and GANs. - Strong skills in data preprocessing, augmentation, and annotation for computer vision tasks. - Experience deploying computer vision systems in production environments. - Ability to collaborate effectively within and across teams, with a keen aptitude for quick learning.
Preferred Qualifications: - Experience with Neural Radiance Fields (NERFs). - Previous involvement in addressing challenges related to 3D scene and object reconstruction and object detection. - Familiarity with diffusion models. - Background in Architecture, Aerospace, or Automotive industries.
Benefits: - Competitive PTO/sick leave policy. - Eligibility for employee stock ownership plans (ESOPs) for selected candidates. - Visa sponsorship available for qualified candidates. - Additional perks as the team grows.