Pre-Doctoral Researcher in Machine Learning and AI

Pre-Doctoral Researcher, University Graduate, 2026 Starts (Fixed-Term Contract)

Minimum qualifications:

• Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.
• Experience with one or more general purpose programming languages: Python, C/C++, or Java, etc.
• Research experience in machine learning or AI techniques (e.g., open source project(s), 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 with ambiguity.

Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) or equivalent practical experience.

About the job

The Pre-Doctoral Researcher role is a 24-month role designed to give you experience working on problems together with Google DeepMind India 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 DeepMind India working on fundamental research and applied problems in a wide range of areas in computing. You will have a wide range of opportunities ranging from conducting fundamental research to exploring their applications in products and services used by billions people, and conducting research that contributes to human-centered AI and catalyzes AI for social good. We expect our Pre-Doctoral Researchers to publish their high quality work externally.

Google DeepMind India addresses issues 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 conferences, academic journals, release projects as open source, and apply research to Google products.

Responsibilities

• Work with research mentors to formulate research projects or novel applications of machine learning.
• Conduct research and publish high quality work.
• Implement algorithms, experiments, or human-computer interfaces using frameworks such as JAX/TensorFlow.
• Learn and understand research in machine learning algorithms.
• Understand how to use research to drive design decisions.

Experience Level

Entry Level