Algorithm Engineer( Computer vision)

.

Responsibilities

• Develop and optimize computer vision algorithms, including object detection, image classification, and segmentation

  .

• Build and improve image/video datasets, including data cleaning, augmentation, annotation guidelines, and hard-case mining.
• Optimize models for different platforms through model compression, pruning, quantization, and inference acceleration using tools such as TensorRT, ONNX, and OpenVINO.
• Work with engineering teams to deploy CV models into production and address real-world and long-tail challenges.
• Keep up with the latest CV technologies and explore the application of

  Transformers and Vision Foundation Models

  .

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, Electronic Engineering, Automation, Mathematics, or a related field.

Strong programming skills in

Python and good knowledge of

C/C++

.

• Proficiency in at least one deep learning framework, preferably

  PyTorch

  ; TensorFlow or JAX is also acceptable.

Familiar with

OpenCV, PIL, NumPy

, and related tools.

Solid understanding of

CNNs and Transformers

, such as ResNet, MobileNet, and ViT.

• Familiar with mainstream detection and segmentation models such as

  YOLO, RetinaNet, and Segment Anything (SAM)

  .

• Strong analytical and problem-solving skills, with the ability to independently develop algorithm solutions for real-world business needs.