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Kneron

Algorithm Engineer (Deep Learning)

San Diego, CA US
TensorFlow PyTorch Deep Learning Machine Learning Python C++ Keras
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Description

Algorithm Engineer (Deep Learning)

Job description

  1. You will be responsible for research, development and deployment of real world deep learning solutions while building Computer Vision, Speech, Machine Learning, and Robotics
  2. Driveend to end data collection/annotation, model training and model evaluation
  3. Optimizing and accelerating deep learning algorithms on various Kneron platforms (SOC, edge, server etc) and accelerators (DSP, NPU etc).
  4. Improving model accuracy by understanding failures, finding redundancies in data and staying on top of the latest in model architectures and training algorithms.
  5. Contributing to the backend or edge infrastructure to scale model training and inference workload including training pipelines, evaluation, and model deployment

Requirements


  1. MS or PhD in Computer Science/Engineering with 2+ years of professional experience or equivalent experience
  2. Strong background in at least one of area of machine learning, such asgenerative models (GANs, VAE, etc.), segmentation, object detection, human tracking
  3. Strong programming skills in Python and C/C++; strong software design skills
  4. Experience working with modern deep learning frameworks including OpenMMlab, Keras, Tensorflow, PyTorch, MXNet
  5. Experience with improving efficiency of AI algorithms for deployment
  6. Ability to multitask effectively in a dynamic environment
  7. Strong debugging, problem-solving and analytical skills
  8. Excellent interpersonal, written and oral communications skills

Preferred:
  1. Familiarity with building DL algorithms (neural architecture search, active learning, pruning, quantization etc) and working with data pipelines (ETL, data lake etc).
  2. Familiarity with scene understanding, learning 3D representations, synthetic data, temporal data in computer vision.
  3. 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：career@kneron.us
Kneron
Kneron
Artificial Intelligence Internet of Things Machine Learning Robotics Software

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