Algorithm Engineer (Deep Learning) Job description * You will be responsible for research, development and deployment of real world deep learning solutions while building Computer Vision, Speech, Machine Learning, and Robotics * Driveend to end data collection/annotation, model training and model evaluation * Optimizing and accelerating deep learning algorithms on various Kneron platforms (SOC, edge, server etc) and accelerators (DSP, NPU etc). * Improving model accuracy by understanding failures, finding redundancies in data and staying on top of the latest in model architectures and training algorithms. * Contributing to the backend or edge infrastructure to scale model training and inference workload including training pipelines, evaluation, and model deployment Requirements * MS or PhD in Computer Science/Engineering with 2+ years of professional experience or equivalent experience * Strong background in at least one of area of machine learning, such asgenerative models (GANs, VAE, etc.), segmentation, object detection, human tracking * Strong programming skills in Python and C/C++; strong software design skills * Experience working with modern deep learning frameworks including OpenMMlab, Keras, Tensorflow, PyTorch, MXNet * Experience with improving efficiency of AI algorithms for deployment * Ability to multitask effectively in a dynamic environment * Strong debugging, problem-solving and analytical skills * Excellent interpersonal, written and oral communications skills Preferred: * Familiarity with building DL algorithms (neural architecture search, active learning, pruning, quantization etc) and working with data pipelines (ETL, data lake etc). * Familiarity with scene understanding, learning 3D representations, synthetic data, temporal data in computer vision. * Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g., GitHub) The ideal candidate will have a passion for generating new ideas, be a proactive and quick learner, and be able to demonstrate creativity and innovation. Location San Diego