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Position: Machine Learning Engineer (Computer Vision)
Institution: Snap Inc.
Location: Wien, Austria
Duties: Develop novel technologies for the next generation of wearable AR devices; Explore and advance state-of-the-art machine learning and computer vision algorithms; Develop and deploy machine learning models; Work together with our cross-functional engineering and research teams in computer vision, machine learning and graphics
Requirements: Bachelors’ degree in a technical field such as computer science, mathematics or equivalent experience; 3+ years of research or engineering experience with machine learning approaches, in one or more of the following areas: object detection, hand/body tracking, object pose tracking, scene understanding (segmentation, classification), neural scene representation; Experience with machine learning frameworks (PyTorch, TensorFlow etc.), as well as with cloud environments (GC, AWS etc); Experience with software development in Python or C++
   
Text: Machine Learning Engineer (Computer Vision) Develop novel technologies for the next generation of wearable AR devices; Explore and advance state-of-the-art machine learning and computer vision algorithms; Develop and deploy machine learning models; Work together with our cross-functional engineering and research teams in computer vision, machine learning and graphics Bachelors’ degree in a technical field such as computer science, mathematics or equivalent experience; 3+ years of research or engineering experience with machine learning approaches, in one or more of the following areas: object detection, hand/body tracking, object pose tracking, scene understanding (segmentation, classification), neural scene representation; Experience with machine learning frameworks (PyTorch, TensorFlow etc.), as well as with cloud environments (GC, AWS etc); Experience with software development in Python or C++
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