Job Description

Deep Learning/Computer Vision Engineer

Our client is seeking to fill a senior technical position primarily specializing in Deep Learning.

• The candidate will join a small, agile group of computer vision engineers and provide expertise related to real-time object detection and segmentation to support a variety of cutting-edge Augmented Reality applications.

• The candidate will be doing research, prototype and survey different DL networks/algorithms that are the current state-of-art and model optimization techniques (e.g., compression, quantization).

• The candidate will also be required to develop and contribute to the implementation of various computer vision related applications as needed.

MUST HAVE SKILLS:

• 3+ years experience with development and implementation of computer vision or deep learning algorithms.

• Significant, demonstrable experience with state-of-the-art deep learning networks in o Real-time Object Detection techniques for 2D/3D objects, o Semantic/Instance segmentation, o Hand gesture recognition, o Human pose estimation, o Training dataset design, augmentation, and validation, o Classification/Segmentation performance metrics.

• Experience in working with large data sets and developing ML infrastructure pipelines.

• Strong experience in Neural network optimization (pruning, quantization and compression).

• Strong experience with python, C++, and OpenCV required.

• Strong expertise with DL frameworks like TensorFlow, Pytorch, Mxnet, Onnx etc.

• Strong expertise with software development lifecycle - coding, debugging, optimization, testing, integration

• Experience with DL inference accelerator toolkits like TVM, Openvino, TensorRT, PlaidML (optional)

EDUCATION/CERTIFICATIONS:

• B.S/M.S in Computer Science or equivalent college degree.

*NO C2C*