Google India Hiring Pre-Doctoral Researcher | University Graduate | Job Role : Researcher
Google Recruitment 2022 :
- Google India invites applications from university graduates for the 24-month Predoctoral
Research Program 2023.
Google Recruitment 2022 Details :
| Job Role | Researcher |
| Batch | 2023/2022 or Any |
| Experience | Freshers |
| Salary | 24-26 LPA |
About :
- The Predoctoral Researcher role is a 24-month role designed to give you experience
working together on challenging problems with Google researchers and engineers in India
before pursuing (or deciding on) doctoral research.
- As a predoctoral researcher, you will collaborate with researchers, scientists, and
engineers from Google Research working on basic research and applied problems in a
wide range of computer science fields.
- You will have a wide range of opportunities, from conducting basic research to contributing
to products and services used by billions of people and conducting research that contributes
to human-centered AI and catalyzes AI for social good.
- We encourage our pre-doctoral researchers to publish their work externally.
Minimum qualifications:
- Bachelor's degree in a STEM field (eg., computer science, mathematics, or statistics)
or equivalent practical experience.
- Experience with one or more generic programming languages: Python, C/C++, Java, etc.
- Research experience in machine learning or artificial intelligence techniques
(eg., open source projects, on-campus lab experience, research internships, or publications).
Preferred qualifications:
- Master’s degree in a STEM field (e.g., Computer Science, Mathematics, or
Statistics) or equivalent practical experience.
- Ability to work and collaborate across multiple teams.
Responsibilities :
- Work with research mentors to formulate research projects and/or new machine
learning applications.
- Do some research and post it.
- Implement algorithms, experiments, and/or human-machine interfaces using frameworks
(e.g., TensorFlow).
- Learn and understand a large body of research on machine learning algorithms.
- Understand how to use research to guide design decisions.

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