Pre-Doctoral Researcher, University Graduate

About Google

Google offers Internet-related services and products, including online advertising technologies, search, cloud computing, software, and hardware. Google has over 50 offices in India and more than 10,000 workers. The company's first India office was set up in 2009. Google's largest campus outside of the US is its Bengaluru campus, which employs over 7,000 people.

Google’s mission is to organize the world’s information and make it universally accessible and useful. They do this by providing search services that make finding the right information easy, creating effective advertising solutions, and building products like Gmail and Google Chrome that users can all rely on.

Your role

• The Pre-Doctoral Researcher role is a 24-month 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 Pre-Doctoral 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 wide range of opportunities from conducting fundamental 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. They encourage Pre-Doctoral 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, their research teams have the opportunity to impact technology used by billions of people every day.
• The teams aspire to make discoveries that impact everyone, and core to their approach is sharing their research and tools to fuel progress in the field -- They publish regularly in academic journals, release projects as open source, and apply research to Google products.

Your responsibilities:

• Work with research mentors to formulate research projects and/or novel applications of machine learning.
• Conduct research and publish it.
• Implement algorithms, experiments, and/or human-computer interfaces using frameworks (e.g., TensorFlow).
• Learn and understand a large body of research in machine learning algorithms.
• Understand how to use research to drive design decisions.

Training, development & rotations

• Google offers excellent training opportunities for employees who want to grow their careers.
• This includes learning about data science and machine learning through their internal programs and partnerships with companies like Udacity and Coursera.

Salary & benefits

The salary at Google for this role can range from INR 24 to INR 26 LPA. (Source: Glassdoor)

Benefits they provide:

• Health Insurance
• Retirement, Stock, and Savings
• Time Off
• Family and Parental Leave
• Travel and Transportation
• GSuite Basics

Work-life balance

As for the work-life balance at Google, the company promotes a culture where employees are encouraged to have a good work-life balance to make sure they're productive, enjoy their work, and dedicate adequate time to other interests. Work days are usually from Monday to Friday. They have flexible work timings.

Culture & vibe

Google is proud to be an equal-opportunity workplace and is an affirmative action employer. They are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran

• Google has a strong engineering culture focusing on innovation and making things better for the world.
• They hire people who want to change the world and make it better through technology.

About you

Minimum qualifications:

• Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.
• Experience with Python, C/C++, or Java
• Research experience in machine learning or AI techniques (e.g., open source projects, 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

How to apply

To apply for this role, just click on the "Pre Register" button, so that you will be notified when the position is active and open for the application process.