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Computer Vision Scientist
Los Angeles, Remote

Pearl is looking for a Computer Vision Scientist with at least 3 years of industry experience. Youwill be responsible for building and maintaining many of the core applications that power Pearl. Youwill be working to advance Pearl’s machine learning capabilities in both 2-D and 3-D. You will beworking with a team of like minded engineers to improve the performance of our machine learningpipeline and to prototype CV-driven solutions to new problems. This role requires familiarity withAWS and Python. The ideal candidate is rigorously scientific and a savvy engineer.


  • Assess and implement methods from relevant literature utilizing open source Vision/Mathtools such as OpenCV, PyTorch, Tensorflow, Caffe
  • Collaborate with cross-functional teams (FullStack, Product) to build products and sharelearnings, and vice versa
  • Build upon existing solutions to optimize for performance, reliability, and scalability
  • Write and maintain clean and modular code to deploy in production environment
  • Contribute to active research communities through conference/journal publications, meetups,and workshops

Minimum Qualifications:

  • MS in Computer Vision, Computer Science, Electrical Engineering, Applied Mathematics orPhysics, Machine Learning or a related technical field
  • 2+ years experience in Computer Vision, Machine Learning, Image Analysis
  • Strong program fluency in C++, Python and familiar with Linux environment
  • Experience applying machine learning and deep learning to images / video data with 3rdparty Vision/Math tools such as OpenCV, PyTorch, Tensorflow, Caffe
  • Strong communication skills to effectively collaborate with cross-functional teams includingboth technical and non-technical team members

Preferred Qualifications :

  • Experience working in medical imaging
  • Experience with multimodal data
  • Experience with CPU/GPU optimization
  • Familiar with AWS ecosystem
  • Publications in top-tier journals and conferences


  • Talented, energetic teammates
  • Fun and fast-paced work environment
  • Ongoing learning and development
  • Stock options, 401k, medical/dental/vision benefits
  • Unlimited vacation policy