Thetalkingmachines
Research Scientist, Machine Learning and Intelligence
Thetalkingmachines, Mountain View, California, us, 94039
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Research Scientist, Machine Learning and Intelligence
Job Type: Full Time Research in machine intelligence has already impacted user-facing services across Google including Search, Maps, and Google Now. Google Research & Machine Intelligence teams are actively pursuing the next generation of intelligent systems for application to even more Google products. To achieve this, we’re working on projects that utilize the latest techniques in Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding. We’re looking for talented Research Scientists that have applied experience in the fields of Machine Learning, Natural Language Processing, and Machine Intelligence to join our team. Research Scientists work closely with Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes worldwide. From creating experiments and prototyping implementations to designing new architectures, Research Scientists and Software Engineers work on challenges in machine perception, data mining, machine learning, and natural language understanding while contributing to the wider research community by partnering with universities and publishing papers. Responsibilities:
Participate in cutting-edge research in machine intelligence and machine learning applications. Develop solutions for real-world, large-scale problems. Minimum qualifications:
PhD in Computer Science, related technical field, or equivalent practical experience. Programming experience in one or more of the following: C, C++, and/or Python. Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, or Machine Intelligence (Artificial Intelligence). Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Preferred qualifications:
Relevant work experience, including experience working within the industry or as a researcher in a lab. Ability to design and execute on research agenda. Strong publication record. Get your job seen by the best and brightest in the machine learning community.
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Job Type: Full Time Research in machine intelligence has already impacted user-facing services across Google including Search, Maps, and Google Now. Google Research & Machine Intelligence teams are actively pursuing the next generation of intelligent systems for application to even more Google products. To achieve this, we’re working on projects that utilize the latest techniques in Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding. We’re looking for talented Research Scientists that have applied experience in the fields of Machine Learning, Natural Language Processing, and Machine Intelligence to join our team. Research Scientists work closely with Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes worldwide. From creating experiments and prototyping implementations to designing new architectures, Research Scientists and Software Engineers work on challenges in machine perception, data mining, machine learning, and natural language understanding while contributing to the wider research community by partnering with universities and publishing papers. Responsibilities:
Participate in cutting-edge research in machine intelligence and machine learning applications. Develop solutions for real-world, large-scale problems. Minimum qualifications:
PhD in Computer Science, related technical field, or equivalent practical experience. Programming experience in one or more of the following: C, C++, and/or Python. Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, or Machine Intelligence (Artificial Intelligence). Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Preferred qualifications:
Relevant work experience, including experience working within the industry or as a researcher in a lab. Ability to design and execute on research agenda. Strong publication record. Get your job seen by the best and brightest in the machine learning community.
#J-18808-Ljbffr