Deep Learning Engineer – Human Post Estimation

Deep Learning Engineer – Human Post Estimation 

Our client are a world leading tech company and a household name who are looking to hire a Deep Learning engineer to join their small and fast paced team based in Munich. 

This team is delivering computer vision algorithms that drive revolutionary products. We are looking for a driven and dedicated deep learning engineer with a strong exp in human pose estimation. 

 Key Qualifications 

• Strong knowledge and experience in deep learning algorithms with focus on human pose estimation, or highly related applications 
• Exp working with real world data — big, messy, incomplete, full of errors 
• Solid mathematical foundation of machine learning / deep learning techniques 
• Strong exp in Python and C/C++ 
• Solid exp in at least one major machine learning framework: Caffe, TensorFlow, Torch, Theano, Keras, etc. 
• Passion for cutting edge computer vision / machine learning technologies and product delivery 
• Excellent understanding of data structures and algorithms 
• Beneficial: Exp in large-scale data capture campaigns, motion capture, real-time tracking algorithms, activity recognition, semantic video analysis, dense 3D reconstruction, photogrammetry, multimodal learning, animation, 3D computer graphics, multiple view geometry, computational geometry, non-linear optimization, iOS programming, optimizing algorithms on CPU/GPU, HW-accelerated image processing, parallel compute architectures, asynchronous processing or embedded systems. 

    

Please do let me know if you could be interested in a role like this working in Munich and helping develop world class products for a true global tech giant.

Key Words – Deep Learning, Machine Learning, algorithsm, pose estimation, Caffe, Tensorflow