ALGORITHM ENGINEER (DEEP LEARNING)

Algorithm Engineer (Deep Learning)Job DescriptionYou will be responsible for research, development and deployment of real world deep learning solutions while building Computer Vision, Speech, Machine Learning, and RoboticsDriveend to end data collection/annotation, model training and model evaluationOptimizing 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 deploymentRequirementsMS or PhD in Computer Science/Engineering with 2+ years of professional experience or equivalent experienceStrong background in at least one of area of machine learning, such asgenerative models (GANs, VAE, etc.), segmentation, object detection, human trackingStrong programming skills in Python and C/C++; strong software design skillsExperience working with modern deep learning frameworks including OpenMMlab, Keras, Tensorflow, PyTorch, MXNetExperience with improving efficiency of AI algorithms for deploymentAbility to multitask effectively in a dynamic environmentStrong debugging, problem-solving and analytical skillsExcellent interpersonal, written and oral communications skillsPreferredFamiliarity 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.LocationSan DiegoContactE-mail：career@kneron.us