Application Deadline: January 18th 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.
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.
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.
Responsibilities
- Participate in cutting edge research in machine intelligence and machine learning applications.
- Develop solutions for real world, large-scale problems.
For More Information:
Visit the Official Webpage of the Google Software Engineering Intern, Research, 2019
