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Experience optimizing Tensorflow, PyTorch or JAX deep learning models. The Neuron Compiler team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and JAX, and converts them into code suitable for execution.
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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
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Hands-on working knowledge of deep learning and other ML algorithms and infrastructure. 10+ years of pre-sales engineering, technical business development, strategic partnerships, or program/product management experience- Experience with cloud computing and or related fields.
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Python or related languagePREFERRED QUALIFICATIONS- PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with popular deep learning frameworks, including PyTorch- Experience with learning multimodal LLMs and Gen AI in Computer Vision, both in the image and video domains.
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Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
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Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning) As a Principal Applied Scientist in the Prime Video Core Playback organization you will have deep subject matter expertise in applied machine learning.
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Deep understanding and practical experience in several of the following areas: machine learning, statistics, causal inference and recommendation systems. PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field.
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Coding proficiency in at least one modern deep learning framework (PyTorch, Tensorflow) Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism, etc.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago
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