Senior Computer Vision Researcher
4 weeks ago
We are seeking a highly skilled Senior Computer Vision Researcher to join our R&D team at Qii. In this role, you will be responsible for developing advanced computer vision and deep learning models to advance the future of AI-powered asset inspections.
Key Responsibilities
- Develop Advanced Vision and Learning Models: Build state-of-the-art models in computer vision, specializing in instance detection, segmentation, multi-modal data alignment, and localization with a strong focus on LLM-Vision (vision-language models) applications.
- Implement Adaptive Learning Pipelines: Design and optimize cloud-based deep learning workflows, including few-shot, zero-shot, active learning, and continuous learning, to enable adaptable AI solutions that address varied and evolving user needs.
- Enhance Photogrammetric and 3D Capabilities: Advance the quality and accuracy of photogrammetric mapping, including 3D point cloud, mesh modeling, and spatial analysis for high-precision asset inspections.
- Drive Change Detection and Anomaly Detection Solutions: Develop robust techniques for multi-temporal change detection, point-to-point registration, and anomaly detection to deliver actionable insights.
- Optimize and Scale Deployments: Improve the scalability, efficiency, and robustness of deployed models, refining machine learning architectures to meet performance and reliability standards in cloud environments.
- Quantify and Validate Solutions: Conduct rigorous testing and validation, analyzing algorithmic performance to ensure that models meet performance and accuracy benchmarks.
- Support Technical Excellence: Provide prompt support for technical challenges, collaborating cross-functionally to ensure smooth deployment and optimal system performance.
Minimum Qualifications
- Proven Expertise in Computer Vision and Machine Learning: Strong foundation in computer vision and machine learning, with practical experience developing and deploying complex AI models.
- Hands-on Programming Skills: 3+ years of programming experience in Python and/or C++, with demonstrated proficiency in using machine learning libraries such as PyTorch, TensorFlow, and OpenCV.
- Experience with 3D Data Processing: Knowledge of tools like PCL (Point Cloud Library) and proficiency in handling 3D data structures for asset inspection and analysis.
- Strong Communication and Collaboration Skills: Ability to present complex concepts clearly and work effectively in a collaborative, interdisciplinary team environment.
Salary Range: $120,000 - $180,000 per year.
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