Principal AI Researcher

As a Principal AI Researcher at Synapsica, your role is to lead and drive AI-based research and development efforts. You should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects. You will be working on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions. Key Responsibilities: - Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products. - Formulate and design AI capabilities of our stack with a special focus on computer vision. - Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment, and relevant automations. - Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap. - Organize regular reviews and discussions. - Keep the team up-to-date with the latest industrial and research updates. - Publish research and clinical validation papers. Qualifications Required: - 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning. - Prior experience in leading and managing a team. - Strong problem-solving ability. - Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). - Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection, etc. - Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar). - Background in publishing research papers and/or patents. - Computer Vision and AI Research background in the medical domain will be a plus. - Experience of GPU/DSP/other Multi-core architecture programming. - Effective communication with other project members and project stakeholders. - Detail-oriented, eager to learn, acquire new skills. - Prior Project Management and Team Leadership experience. - Ability to plan work and meet the deadline. As a Principal AI Researcher at Synapsica, your role is to lead and drive AI-based research and development efforts. You should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects. You will be working on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions. Key Responsibilities: - Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products. - Formulate and design AI capabilities of our stack with a special focus on computer vision. - Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment, and relevant automations. - Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap. - Organize regular reviews and discussions. - Keep the team up-to-date with the latest industrial and research updates. - Publish research and clinical validation papers. Qualifications Required: - 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning. - Prior experience in leading and managing a team. - Strong problem-solving ability. - Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). - Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection, etc. - Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar). - Background in publishing research papers and/or patents. - Computer Vision and AI Research background in the medical domain will be a plus. - Experience of GPU/DSP/other Multi-core architecture programming. - Effective communication with other project members and project stakeholders. - Detail-oriented, eager to learn, acquire new skills. - Prior Project Management and Team Leadership experience. - Ability to plan work and meet the deadline.