M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university.
A proven track record of at least 3 years hands-on experience in developing deep learning algorithms.
Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
In-depth, hands-on knowledge of deep learning fundamentals.
Hands-on experience with deep learning frameworks such as PyTorch.
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.
Proficiency in Python programming.
Experience in conducting long-term development and/or research projects, in either academia or industry.
Proficiency in English, both written and spoken.
Eligible to work in the US