COMPUTER VISION SCIENTIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Dec 24, 2024 - The Computer Vision Scientist has extensive experience in object detection and pattern recognition project development within the retail sector. Skilled in building large-scale image recognition systems and designing products with machine learning at scale, writing production-ready Python code, and understanding Convolutional and Recurrent Neural Network models. Strong analytical skills and team spirit ensure successful project completion.

Essential Hard and Soft Skills for a Standout Computer Vision Scientist Resume
  • Object Detection
  • Pattern Recognition
  • Machine Learning
  • Image Recognition
  • CNNs
  • RNNs
  • Python Coding
  • Data Analysis
  • Algorithm Development
  • Software Engineering
  • Analytical Thinking
  • Problem Solving
  • Collaboration
  • Teamwork
  • Communication
  • Adaptability
  • Attention to Detail
  • Time Management
  • Creative Thinking
  • Results Orientation

Summary of Computer Vision Scientist Knowledge and Qualifications on Resume

1. BS in Computer Science with 2 years of Experience

  • Experience in object detection, pattern recognition-related project development. 
  • Experience with machine learning projects in retail 
  • Experience in building and maintaining a large-scale image recognition system.
  • Experience with designing products that leverage machine learning at scale.
  • Familiar with at least one or more deep learning frameworks: Caffe/Caffe2, TensorFlow, PyTorch.
  • Skilled at writing production-ready python code.
  • In-depth understanding of different Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) based models 
  • Analytical and problem-solving skills 
  • Team spirit and ability to work collaboratively with colleagues 
  • Results-oriented with an ability to own deliverables through to completion 
  • Experience and knowledge of retail and consumer product goods

2. BS in Electrical Engineering with 4 years of Experience

  • Deep understanding of classic SLAM pipeline such as feature extraction, triangulation, BA, loop closure, etc.
  • Familiarity with recent advances in various SLAM topics, such as visual place recognition, long-term localization, semantic SLAM, topological mapping, distributed and incrementally learned maps, etc.
  • Ability to transfer conceptual models to working code in C++ or Python
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents
  • Strong publication record in visual SLAM, computer vision or machine learning
  • Experience in Deep Learning frameworks such as TensorFlow or Pytorch.
  • Familiarity with vehicle sensors and hardware, including cameras, LiDAR, GPS, CAN, IMU, USB, Ethernet.
  • Extensive hands-on experience in real-world robotics applications and robot operating system (ROS).

3. BS in Mathematics with 5 years of Experience

  • Experience in at least one of the following areas: computer vision, machine learning/deep learning, image and video processing, computational photography, and video quality, Camera 3A, or in shipping related products to customers.
  • Strong C++ developing skills and OpenCV, Eigen, GPU shaders. Experience with TensorFlow, PyTorch, or related deep learning frameworks 
  • Interest in computational photography and multi-media post-processing.
  • Experience computational photography or ISP (3A and image enhancement algorithms) development, and in shipping related products to customers.
  • Experience in development, optimization and parallelization of algorithms in multi-processor environment Experience including ARM, ARM NEON and GPU based architectures and APIs, such as CUDA, OpenCl, OpenGL(ES) or familiar with Qualcomm DSP developing and HVX , Halide, or other functional languages.
  • Experience with camera automatic control algorithm development implementation (i.e. auto white balance, auto focus, auto exposure, auto flicker detection/correction, video stabilization, auto scene detection). 
  • Experience with at least one category of Multi-view geometry, simulation, graphics rendering Alignment, Registration, Stereo Vision, Robotics, Machine Learning, Deep Learning, Image and Video quality
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