Computer Vision Engineer
Description For Computer Vision Engineer
Motive is seeking a Computer Vision Engineer to join their team. The role involves solving challenging object detection, segmentation, recognition, and geometric computer vision problems. You'll build automated deployment, validation, and active learning pipelines, evaluate and improve existing models, conduct research for new AI models, and optimize algorithms for real-time performance on embedded platforms. The ideal candidate should have a strong background in Computer Vision, Deep Learning, and Machine Learning, with experience in Python or C++ and familiarity with training frameworks like TensorFlow, PyTorch, or Caffe. This position offers the opportunity to work on cutting-edge AI systems for physical operations, collaborating with cross-functional teams to develop robust and sustainable solutions. Motive serves over 120,000 customers across various industries, providing a platform that combines safety, operations, and finance management in a single system. Join Motive to contribute to the development of innovative AI-driven solutions that enhance safety, productivity, and profitability in physical operations.
Responsibilities For Computer Vision Engineer
- Solve challenging object detection, segmentation, recognition, and geometric computer vision problems
- Build automated deployment, validation, and active learning pipelines
- Evaluate and improve the performance of existing models and algorithms already in production
- Conduct research and execute experiments to build new AI models and algorithms
- Build and optimize CV/ML algorithms for real-time performance on embedded platforms
- Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression, and porting pipelines
- Convert state-of-the-art research prototypes into reliably working product features
- Collaborate with cross-functional teams to ensure the development of robust and sustainable AI systems
Requirements For Computer Vision Engineer
- Bachelor's Degree in Computer Science, Electrical Engineering, or related field
- 2+ years of industry experience or academic research experience in Computer Vision, Deep Learning, and Machine Learning
- Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches
- Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
- Strong experience in Python or C++
