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Research Software Engineer, Google AI at Google (Paris, France)

Minimum qualifications:

  • Masters degree or similar in Computer Science, related technical field or equivalent practical experience.
  • Experience working in an academic and research industry environment or contributing to research communities and/or efforts, including publishing papers at conferences.
  • Experience with Machine Learning, working with TensorFlow, PyTorch or similar frameworks.
  • Experience with C/C++ or Python.

Preferred qualifications:

  • PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • Experience in Deep Learning, Neural Networks, or related fields.
  • Experience with large data sets, system design, and optimization.
  • 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 to deploy promising innovations quickly and broadly. Ideas may generate from internal projects and collaborations with research programs at partner universities and technical institutes. Projects and collaborations include experiments and prototyping implementations, 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 are an active contributor to the wider research community through partnering with universities, attending research conferences, and publishing papers. You will bridge the gap between a Software Engineer and a Research Scientist,. . sized problems that will impact users at scale. You will apply your skills to language understanding and perception (speech, images, video) as well as algorithm improvement. Additionally, you will work alongside Research Scientists on the Google AI team, bringing 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.


  • Conduct and contribute to research in artificial 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.