
AI Research Scientist
2 weeks ago
Job Opportunity
We are seeking an experienced AI/ML researcher to work on a challenging project in video analytics. This role combines applied AI research with real-world traffic engineering and safety analysis.
Key Responsibilities
- Investigate, benchmark, and optimize model architectures for detection, segmentation, and tracking in complex transport environments.
- Enhance multi-object tracking pipelines using advanced methods such as DeepSORT, ByteTrack, and Transformer-based approaches.
- Improve video analytics performance through evaluation of alternative models and pipeline optimization.
- Develop post-processing logic for trajectory denoising, smoothing, and error reduction.
- Apply denoising techniques to improve low-resolution or low-bitrate footage.
- Conduct field validation of model performance across diverse environments and camera types.
- Support camera calibration workflows for accurate spatial measurements.
- Run ablation studies and model evaluations under varied environmental conditions.
- Collaborate with cloud engineering teams for scalable inference deployment.
- Translate AI outputs into transport safety and engineering metrics.
Required Qualifications
- PhD in Computer Science, Applied Mathematics, Robotics, Physics, or related discipline; or equivalent experience with a strong applied AI/computer vision track record.
- Expertise in object detection, segmentation, and multi-object tracking in complex scenarios.
- Proficiency with deep learning frameworks (PyTorch, TensorFlow) and Python libraries (OpenCV, Yolo, NumPy, scikit-learn).
- Proven experience in real-world video analytics and model deployment under challenging conditions.
- Experience with model optimization and inference acceleration.
- Familiarity with denoising techniques for low-quality video.
- Understanding of camera calibration and spatial measurement.
- Strong communication skills and ability to work independently and in multi-disciplinary teams.
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