ALGORITHM DEVELOPMENT INTERN (DEEP LEARNING)

Job description

• You will be responsible for deployment of real world deep learning solutions while building Computer Vision, Speech, Machine Learning, and Robotics
• Analyzing and understanding the STOA deep neural network structure and optimizing the algorithm on various Kneron platform
• Drive end to end data collection/annotation, model training and model evaluation
• Improving model accuracy by understanding failures, finding redundancies in data and staying on top of the latest in model architectures and training algorithms.

Requirements

• MS or PhD in Computer Science/Engineering
• Strong background in at least one of area of machine learning, such as generative models (GANs, VAE, etc.), segmentation, object detection, human tracking
• Strong programming skills in Python
• Experience working with modern deep learning frameworks including OpenMMLab, Keras, Tensorflow, PyTorch, MXNet
• Experience with improving efficiency of AI algorithms for deployment
• Excellent interpersonal, written and oral communications skills

The ideal candidate

• Will have a passion for generating new ideas
• Will be a proactive and quick learner
• Will be able to demonstrate creativity and innovation

Location: 10052 Mesa Ridge Court, Suite 101 San Diego, CA 92121

Contact: If interested, please send your resume with [FPGA/DSP Developer] in the subject to career@kneron.us