ALGORITHM ENGINEER (DEEP LEARNING)

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

Contact

E-mail：[email protected]