The job posting for the Pre-Doctoral Researcher with Google Research India for Bengaluru location is now live on Google’s careers site.
A 24-month role, the Pre-Doctoral Machine Learning Researcher job role has been designed to give candidates a hands-on experience working on challenging problems together with research scientists and engineers in Bangalore before continuing their computer science research education.
Gaurav Aggarwal, a staff research scientist at Google Research, broke the news on his LinkedIn Post, stating that this could be a good opportunity for candidates who are finishing or just finished their BTech degree and are willing to explore research as a career option.
The position is not eligible for immigration sponsorship for candidates who do not have work authorisation for India, and the company will be prioritising candidates who can start in the given location by set date as expected. The company is not currently hiring people from a foreign location due to the current visa/travel restrictions in place. Thus, unable to extend offers to candidates who cannot work from India.
The job role expects the candidates to have a minimum qualification of bachelor’s degree in a STEM field such as computer science, mathematics, statistics or equivalent practical experience, and comprehensive experience in programming languages like Python, C/C++ or Java. Along with that Google Research India would appreciate the candidates with research experience in machine learning or AI techniques, such as open-source project(s), campus lab experience, research internship(s), or publication(s).
The company is also hoping for a candidate who has the ability to work and collaborate across multiple teams. This is because, as a Pre-Doctoral Machine Learning Researcher, the candidates will have to collaborate with scientists and engineers at Google Research working on fundamental research and applied problems in a wide range of areas in computer science.
The candidates will have a wide range of opportunities from conducting fundamental research to contributing to products and services used by billions of people, as well as conducting research to catalyse AI for Social Good. Further to this the candidates also have to work with research mentors to formulate research projects and/or novel applications of machine learning, conduct research and publish it, along with implementing algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow. It is also required that one should be able to learn and understand a large body of research in machine learning algorithms, to succeed in this role.
How To Apply
To start the application process, the candidates can visit the Google’s Careers site, where they have to provide the required materials such as an updated resume, degree status and a cover letter. The position has clearly mentioned that the cover letter of the candidate must include their primary research interests, and an example of an open-ended research question or project they have worked on.
Although for many companies, cover letters are optional, at Google, it has been made mandatory for understanding the candidate better. Along with this, the candidates must also include how this role is going to help them explore their research interests and achieve their goals, in the cover letter.
Check out the job posting here.
