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2 days ago
We are seeking a skilled Machine Learning Engineer to join our team.
About the JobThis is an exciting opportunity to work on developing and optimizing software modules for on-device video capture, preprocessing, inference, and post-processing on Linux.
- Main Responsibilities:
- Implement classical image processing pipelines (denoise, resize, color space, undistortion) and computer vision algorithms (keypoints, homography, optical flow, tracking).
- Build and optimize distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth-estimation networks.
- Integrate ML models (PyTorch/TensorFlow → ONNX/TensorRT/NNAPI/NPU runtimes) for DMS/ADAS events: drowsiness, distraction/gaze, phone-usage, smoking, seat belt, etc.
- Hit real-time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multi-threading, zero-copy buffers.
To be successful in this role, you should have:
- 2+ years hands-on experience in modern C++ on Linux, with strong Git and CMake.
- Solid image processing and computer-vision foundations (camera models, intrinsics/extrinsics, distortion, PnP, epipolar geometry).
- Practical experience integrating CV/ML models on device (OpenCV + ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI).
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