Ethereum Technologies LLC
HP Labs Senior Machine Learning Research Scientist
Ethereum Technologies LLC, Palo Alto, California, United States, 94306
Job OverviewJob ID: J36993Specialized Area: HP Labs Senior Machine Learning Research ScientistLocation: To Be Discussed LaterDuration: 12 MonthsDomain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/ Energy, Insurance, Retail, Government, Telecom, Aerospace/ Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/ EntertainmentWork Authorization: Client: To Be Discussed LaterEmployment 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 fieldStrong deep learning, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement LearningStrong understanding of data management and model evaluation and training techniques for Neural NetworksOne or more deep learning frameworks such as Pytorch, Torch, Caffe, or TensorflowPublications in highly ranked ML and AI conferences and/or journal publicationsStrong verbal, written and presentation skillsOne or more programming languages: C++/C, Python, Java, MATLAB etc;Enjoy working in a highly collaborative environmentPreferred:Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio ProcessingInternational Reputation in Deep Learning as evidenced by publication record, invited presentations, blogs, etcContributions to open source projectsExperience with OpenCV, ROS, etcAlong with one of:Interest in controlling physical systems using Machine LearningComputational Neuroscience modelingInterest and ability to make fundamental advances in MLInterest at the intersection of computer vision and languageStrong 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 fieldStrong deep learning, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement LearningStrong understanding of data management and model evaluation and training techniques for Neural NetworksOne or more deep learning frameworks such as Pytorch, Torch, Caffe, or TensorflowPublications in highly ranked ML and AI conferences and/or journal publicationsStrong verbal, written and presentation skillsOne or more programming languages: C++/C, Python, Java, MATLAB etc;Enjoy working in a highly collaborative environmentPreferred:Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio ProcessingInternational Reputation in Deep Learning as evidenced by publication record, invited presentations, blogs, etcContributions to open source projectsExperience with OpenCV, ROS, etcAlong with one of:Interest in controlling physical systems using Machine LearningComputational Neuroscience modelingInterest and ability to make fundamental advances in MLInterest at the intersection of computer vision and languageStrong understanding of classical ML techniques
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