Senior Deep learning Engineer

Job description

  1. Implementing novel deep neural network architectures and learning techniques to solve a variety of computer vision tasks and push the state of the art in performance.  
  2. Build and maintain the infrastructure for training and deploying models, including massive data pipelines, experiment management platform, visualization tools etc.  
  3. Integration of model components with the product stack.  
  4. Complete ownership of data assets and annotation efforts.


  1. BS / MS / PhD in Computer Science / Mathematics or related field with 2+ years of deep learning experience (computer vision).  
  2. 3-5 years of software engineering experience in an academic or industrial setting.  
  3. Holistic understanding of deep learning concepts, state of the art in computer vision research and the mathematics of machine learning.  
  4. Proficiency in at least one of the popular computational and deep learning frameworks, such as TensorFlow, Caffe, KerasPytorch etc.  
  5. Proficiency in C/C++ and Python.  
  6. Proven track record of high-quality engineering output (side projects, internships, research projects, full-time jobs etc.).  
  7. The ability and desire to work in the dynamic environment of an early-stage company. 


TPE  /  SD
10052 Mesa Ridge Court, Suite 101 San Diego, CA 92121


If interested, please send your resume to: /