Ethereum Technologies LLC
HP Labs Senior Machine Learning Research Scientist
Ethereum Technologies LLC, Palo Alto, California, United States, 94306
Job Overview
Job ID: J36993
Specialized Area: HP Labs Senior Machine Learning Research Scientist
Location: To Be Discussed Later
Duration: 12 Months
Domain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/ Energy, Insurance, Retail, Government, Telecom, Aerospace/ Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/ Entertainment
Work Authorization: Client: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Requirements: Ph.D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation or any field Strong deep learning, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement Learning Strong understanding of data management and model evaluation and training techniques for Neural Networks One or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow Publications in highly ranked ML and AI conferences and/or journal publications Strong verbal, written and presentation skills One or more programming languages: C++/C, Python, Java, MATLAB etc; Enjoy working in a highly collaborative environment Preferred: Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing International Reputation in Deep Learning as evidenced by publication record, invited presentations, blogs, etc Contributions to open source projects Experience with OpenCV, ROS, etc Along with one of: Interest in controlling physical systems using Machine Learning Computational Neuroscience modeling Interest and ability to make fundamental advances in ML Interest at the intersection of computer vision and language Strong understanding of classical ML techniques
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Minimum Requirements: Ph.D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation or any field Strong deep learning, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement Learning Strong understanding of data management and model evaluation and training techniques for Neural Networks One or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow Publications in highly ranked ML and AI conferences and/or journal publications Strong verbal, written and presentation skills One or more programming languages: C++/C, Python, Java, MATLAB etc; Enjoy working in a highly collaborative environment Preferred: Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing International Reputation in Deep Learning as evidenced by publication record, invited presentations, blogs, etc Contributions to open source projects Experience with OpenCV, ROS, etc Along with one of: Interest in controlling physical systems using Machine Learning Computational Neuroscience modeling Interest and ability to make fundamental advances in ML Interest at the intersection of computer vision and language Strong understanding of classical ML techniques
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