Machine Learning Engineer
1 month ago
Overview:
We are seeking a skilled Computer Vision / Machine Learning Engineer to join our team in video analytics. The ideal candidate will have expertise in computer vision, machine learning, and robotics, with experience in 3D vision, multi-sensor integration (e.g., LiDAR, radar), deep learning optimization, and real-time deployment.
Key Responsibilities:
- Design and implement advanced computer vision algorithms for video analytics.
- Develop and optimize ML models for real-time object detection, classification, and tracking.
- Preprocess, augment, and calibrate multi-sensor data (e.g., video, LiDAR, radar) to enhance model performance.
- Apply MLOps practices like active learning to improve model accuracy and efficiency.
- Collaborate with cross-functional teams to meet project requirements.
- Document processes, experiments, and results for knowledge sharing and external presentations.
- Conduct experiments to validate new techniques and present findings.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience in computer vision, machine learning, and multi-sensor calibration, ideally in robotics with a focus on 3D vision.
- Proficiency in Python or C++, with experience in OpenCV, TensorFlow, or PyTorch.
- Knowledge of deep learning optimization and deployment tools (CUDA, TensorRT, DeepStream, Triton).
- Strong problem-solving skills and attention to detail.
Tell employers what skills you have
TensorFlow
Machine Learning
Video Analytics
OpenCV
Computer Vision
3D
PyTorch
Attention to Detail
Python
Statistics
Data Science
Robotics
Java
Calibration
C++
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