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Research Scientist, Machine Learning and Intelligence at Google (Pittsburgh, PA)

Note: By applying to this position your application is automatically submitted to the following locations: Seattle, WA, USA; New York, NY, USA; Mountain View, CA, USA; Pittsburgh, PA, USA

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.

About the job

We do research differently here at Google. Our team of Research Scientists aren't cloistered in a secret lab but are embedded throughout the engineering organization, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.



Research in machine intelligence has already impacted user-facing services across Google including Search, Maps and Google Now. Google Research and Machine Intelligence teams are actively pursuing the next generation of intelligent systems for application to even more Google products. To achieve this, were working on projects that utilize the latest techniques in Machine Learning (including Deep Learning approaches like Google AI) and Natural Language Understanding.



Weve already been joined by some of the best minds, and were 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.

There is always more information out there, and Research and Machine Intelligence teams have a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.

Responsibilities


  • Participate in cutting edge research in machine intelligence and machine learning applications.

  • Develop solutions for real world, large scale problems.

At Google, we dont just accept differencewe celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Research Scientist, Machine Learning and Intelligence at Google (Pittsburgh, PA)