Deep Learning Algorithm Engineer
Location TBDFull-timePosted 10mo agoStill listed today
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Job overview
Imagen is hiring a Deep Learning Algorithm Engineer. Imagen seeks a Deep Learning Algorithm Engineer to design, develop, and productionize robust computer vision algorithms, create proofs of concept, evaluate and benchmark models on proprietary datasets, and collaborate on future technology and features.
Key focus areas include Design, develop and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision., Create proofs of concept for new products and technology., and Evaluate and benchmark different algorithms for unique, proprietary datasets..
Important skills include Deep Learning, Computer Vision, Mxnet, Self-Motivation, PyTorch, and TensorFlow.
Skills & qualifications
Skills
Qualifications
Full job description
Deep Learning Algorithm Engineer
- R&D
- careers
- Intermediate
- Full-time Description Imagen is looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities
- Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
- Create proofs of concept for new products and technology.
- Evaluate and benchmark different algorithms for unique, proprietary datasets.
- Collaborate with team members to define future technology and features. Requirements
- B.Sc in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).
- At least 3 years of industry experience in the development and productization of deep learning algorithms.
- At least 3 years of industry experience working on major computer vision problems.
- Experience using PyTorch, MxNet, TensorFlow, or similar tools
- Experience with large scale data
- Comfortable within an unexplored territory, independent and self-motivated.
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