2019 Google Software Engineering Research Intern

Deadline: January 18, 2019.

Research and Machine Intelligence is a high impact team that’s building the next generation of intelligence and language understanding for all Google products. To achieve this, we’re working on projects that utilize the latest techniques in Artificial Intelligence, Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding. We impact products across Google including Search, Maps and Google Now.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology’s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

As a Software Engineer in Research and Machine Intelligence, you work on a small team, collaborating closely with other product teams and you’re able to switch projects as our fast-paced business grows and evolves. We need our engineers to be versatile and passionate to take on new problems. Because you’ll be working with cutting-edge technology, you’ll also get a chance to work closely with researchers across Google.

We’ve already been joined by some of the best minds, and 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.

 

ELIGIBILITY

Minimum qualifications:

  • Currently enrolled in a Master’s or PhD programme in Computer Science or a related technical field.
  • Experience (classroom or work related) in Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or Machine Intelligence (Artificial Intelligence).
  • Experience with one or more general purpose programming languages including but not limited to: Java, C++ or Python.
  • Experience with research communities and/or efforts, including having published papers (being listed as author) at conferences (e.g. NIPS, ICML, ACL, CVPR, etc).

Preferred qualifications:

  • Relevant industry work experience and/or experience as a researcher in a lab.
  • Demonstrated publication record, with four or more publications at conferences (e.g. NIPS, ICML, ACL, CVPR, etc).
  • Ability to design and execute on research agendas.

 

OFFICIAL LINK

 

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