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Research Software Engineer, Google Brain at Google (Berlin, Germany)

Minimum qualifications:

  • Masters degree in Computer Science, related technical field, or equivalent practical experience.

  • Experience working in an academic, research industry environment or contributing to research communities and/or efforts, publishing papers at conferences.

  • Experience in Machine Learning, TensorFlow, PyTorch, or similar frameworks.

  • Experience with one or more general purpose programming languages (e.g., C/C++, Python).

Preferred qualifications:

  • PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.

  • Experience with large data sets, system design and optimization.

  • Experience in Deep Learning, Neural Networks, or related fields.

  • Experience with linear algebra, calculus and statistics.

About the job

At Google, we do research differently. Research is embedded throughout the engineering organization, allowing Research and Engineering to collaborate effectively, setting up large-scale tests and deploying promising innovations quickly and broadly. Ideas may generate from internal projects and collaborations with research programs at partner universities and technical institutes - from creating experiments and prototyping implementations, to designing new architectures, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Software Engineer, you can also remain connected to research, as an active contributor to the wider research community by partnering with universities, attending research conferences and publishing papers. In this role, youll bridge the gap between a Software Engineer and a Research Scientist, pioneering creative solutions to world-sized problems that will impact users at scale. Youll apply your skills to areas such as language understanding and perception (speech, images, video) - as well as improving algorithms. Additionally, you'll work alongside Research Scientists in the Google Brain team to bring their ideas to life by implementing algorithms, running experiments, and building prototypes.

There is always more information out there, and the Research and Machine Intelligence team has 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.


  • Collaborate with Research teams to contribute towards artificial intelligence and machine learning applications.

  • Develop and implement solutions for real-world, scalable 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.
by via developer jobs - Stack Overflow

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