Computer Vision Engineer
1 week ago
As a computer vision engineer at Polybee, you will be working on developing and deploying deep learning and image processing pipelines for yield forecasting of fruit crops. You will be using data from a multitude of sensors (stereo-camera/NIR/thermal/climate) to derive valuable insights on plant morphology, plant health and detect stress, diseases, etc. This involves translating cutting-edge research into cost-effective, scalable industry solutions. If working on interesting real-world problems in a fast-paced multi-disciplinary team excites you, Polybee wants to hear from you
**Responsibilities**
1) You will be working on training and evaluating deep learning models (detection/ segmentation) and developing image processing solutions for yield forecasting so that it meets the accuracy and throughput required by industry standards.
2) You will be expected to deploy these models into production to analyze the data collected by our drones.
3) You will be responsible for collection and sampling of data on edge using embedded systems on the drone.
4) You will also be expected to work in tandem with other teams at Polybee in developing and testing hardware and software closely related to the functioning of our micro-drones.
**Expected skills**:
- Proficiency in Python (computer vision and machine learning libraries like OpenCV, scikit-learn, pandas, SciPy) and C++
- Experience using at least one of the deep learning frameworks - Pytorch (preferred)/ Tensorflow/Keras
- Experience implementing deep learning architectures for object detection/segmentation/object tracking.
- Knowledge in stereovision, 3D reconstruction and photogrammetry/SfM.
- Experience in cloud computing (AWS) and containerization to train and deploy models
**Salary**: $3,000.00 - $5,000.00 per month
**Benefits**:
- Flexible schedule
- Professional development
- Work from home
Schedule:
- Flexible hours
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