Google Software Engineering Intern, Research, 2020

 

Start Date

Flexible

Location

Zurich, Munich, Berlin, London, Paris, Grenoble or Amsterdam

Who

  • Currently enrolled in a Master’s or PhD degree in Computer Science or a related technical field.
  • Experience with research communities and/or efforts, including having published papers (being listed as author) at conferences (e.g. NIPS, ICML, ACL, CVPR, etc)

Salary

Competitive

Duration

Various

Deadline

Sunday 27th October 2019

 

EmployAbility is delighted to be working with Google to connect students with disabilities to intern opportunities at Google.

Note: By applying to this position your application is automatically submitted to the following locations: Zurich, Munich, Berlin, London, Paris, Grenoble or Amsterdam

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 AI) and Natural Language Understanding. 

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 do research differently here at Google. Research Scientists aren't cloistered in the lab, but instead they 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 all over the world. 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. You'll stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Responsibilities:

  • Participate in cutting edge research to develop solutions for real-world, large-scale problems.

Minimum qualifications:

  • Currently enrolled in a Master’s or PhD degree in Computer Science or a related technical field.
  • Experience (classroom/work) 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: 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:

  • Available to work full-time for a minimum of 13 weeks.
  • Returning to your degree after completing the internship.
  • Relevant work experience, including internships, full time industry experience or as a researcher in a lab.
  • Ability to design and execute on research agendas.

How to Apply

Candidates apply through EmployAbility but each applicant is assessed against Google's core competencies and selected through Google's recruitment process. Successful candidates are hired directly onto the Graduate Programme and participate in every aspect of it.

If you have any extenuating circumstances or require further information about the Internship Programme, please contact Sarah on +44(0)7852 764684 or email info@employ-ability.org.uk

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