Research Scientist

Description:

• Research and prototype novel computer vision algorithms and deep learning models
• Improve the performance of our models and algorithms already in production
• Convert research prototypes into production systems and AI products
• Collaborate with other researchers and engineers in cross-functional teams to develop experiments, prototype, analyze results, figure out how well a particular algorithm or a model is performing in the field, and propose solutions.
• Solve challenging object detection, segmentation, recognition, depth/distance estimation, and geometric computer vision problems.

What We’re Looking For

• PhD in Computer Vision, Machine Learning, or related field
• Hands-on experience with training frameworks and tools (TensorFlow | Pytorch | Caffe)
• Proven track record of innovation and achieving significant results, demonstrated by first-authored top-tier publications at conferences such as CVPR, ICCV, and ECCV
• Strong programming skills in Python or C++
• Strong communication skills. The ability to explain the analysis, complex computer vision/ML concepts to a broad technical audience
• Balance building highly accurate and advanced solutions and swiftly shipping things to production
• Keep pace with advancements in Computer Vision and Deep Learning relevant to our activities
• Experience driving a research prototype to a scalable production system is a strong plus.