GoogleplaceBangalore, Karnataka, India
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In “Resume Section:” attach an updated CV or resume. Please make sure to include the following in it, all consolidated in a single PDF:
- Research work: Projects, Publications, Research experience and References (if any)
- Statement of purpose (upto 500 words), detailing reasons for your interest in this Researcher role
- In “Education Section:” attach a current or recent unofficial/official transcript. Under “Degree Status,” select “Now attending/Graduated” to upload a transcript
If this role interests you, please apply on or before 22th March, 2024.
Minimum qualifications:
- Bachelor’s degree in a STEM field (e.g., Computer Science, Mathematics, Statistics, etc.) or equivalent practical experience.
- Experience with one or more general purpose programming languages: Python, C/C++, Java, etc.
- Research experience in machine learning or AI techniques (e.g., open source project, campus lab experience, research internship, publication, etc.).
Preferred qualifications:
- Master’s degree in a STEM field (e.g., Computer Science, Mathematics, Statistics) or a related field.
- Ability to work and collaborate across multiple teams and work with ambiguity.
About the job
This is a 24-month Researcher role designed to give you experience working on challenging problems together with Google Research scientists and engineers in India before pursuing (or making a decision on pursuing) doctoral research.
As a Researcher, you will collaborate with researchers, scientists, and engineers at Google Research working on fundamental research and applied problems in a wide range of areas in Computing. You will have a range of opportunities from conducting fundamental research to contributing to products and services and conducting research that contributes to human-centered AI and catalyzes AI for Social Good. We encourage our Researchers to publish their work externally.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field — we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Responsibilities
- Work with research mentors to formulate research projects or applications of machine learning.
- Conduct research and publish it.
- Implement algorithms, experiments, or human-computer interfaces using frameworks (e.g., TensorFlow).
- Learn and understand research in machine learning algorithms.
- Understand how to use research to drive design decisions.
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