Post-Doctoral Researcher, PhD, DeepMind, 2026 Start (Fixed-Term Contract)

Google; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

DeepMind India is seeking a Post-doctoral Researcher (PhD) for a 12 to 24-month fixed-term contract. You will conduct human-computer interaction research on how people interact with autonomous AI agents and design novel interfaces for human-agent collaboration.

The role emphasizes rigorous user studies, scalable experiments, and publishing high-quality work, with the AQUA team focusing on safety, alignment, and advancing AI capabilities for global impact.

Qualifications

• PhD in a STEM field or equivalent practical experience.
• Experience with Python, C/C++, or Java and training DL models in JAX, TensorFlow, or PyTorch.
• Research experience in ML/AI, including open source projects, lab work, internships, or publications.
• One or more AI conference submissions/publications.

Responsibilities

• Formulate research projects with mentors and publish high-quality work.
• Design and run large-scale experiments, writing reusable code and building production-ready systems with JAX.
• Design and conduct user studies to understand human interaction with AI agents.
• Prototype interfaces and evaluation methods for human-centered collaboration with autonomous agents.
• Translate human study insights into improvements in how agents learn from feedback.

Skills

Python

C/C++

Java

Deep learning

Research experience

Publications

Education

PhD in STEM

Master's degree in STEM

Tools

JAX

TensorFlow

PyTorch

Job description

Post-Doctoral Researcher, PhD, DeepMind, 2026 Start (Fixed-Term Contract)

• PhD 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. and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch.
• Research experience in machine learning or AI techniques (e.g., open source project(s), campus lab experience, research internship(s), or publication(s)).
• One or more scientific publication submission(s) in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).

Preferred qualifications:

• PhD and Master’s degree in a STEM field (e.g. Computer Science, Mathematics, or Statistics) or equivalent practical experience.
• Hands-on experience with one or more general purpose programming languages: Python, C/C++, or Java, etc and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch.
• Extensive research experience in machine learning or AI techniques (e.g. open source project(s), campus lab experience, research internship(s), or publication(s)).
• Ability to work and collaborate across multiple teams and work with ambiguity.
• A strong publication record in top-tier conferences/journals.

About the job

The Post-doctoral Researcher role is a 12 to 24-month role designed to explore challenging problems for pushing frontiers of AI, while collaborating with DeepMind scientists and engineers. Your role will entail conducting human-computer interaction (HCI) research on how people interact with, oversee, and provide feedback to increasingly autonomous AI agents, designing and building novel interfaces and interaction techniques for human-agent collaboration, and evaluating them through rigorous user studies. Insights from your work will inform how agents learn from human feedback and remain safe and aligned with human intent, with potential application to products that might have a positive impact on billions of users.

At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence, and fulfill our mission of building AI responsibility to benefit humanity. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

In particular, our AQUA team at DeepMind India works at the frontier of AI agents, focusing on autonomous self-improvement, reinforcement learning, and the safety and alignment of agents. We build agents that continually improve themselves by learning from their own experience, interactions, and feedback, and we develop methods to ensure that increasingly capable and autonomous agents remain safe, reliable, and aligned with human intent and values. We aim to bring our research into Google's cutting-edge models and products, while also disseminating our findings through publications at top ML conferences/journals.

Responsibilities

• Work with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission. Conduct research and publish high quality work.
• Design and execute large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system using frameworks such as JAX. Learn and understand research in machine learning algorithms.
• Understand how to use research to drive design decisions. Design and conduct user studies (e.g. interviews, surveys, controlled experiments, and field deployments) to understand how people interact with, oversee, and provide feedback to AI agents.
• Prototype novel interfaces and interaction techniques that help people steer, supervise, and collaborate with increasingly autonomous agents. Develop human-centered evaluation methods and metrics for the helpfulness, trustworthiness, safety, and alignment of agents.
• Translate insights from human studies into improvements in how agents learn from human feedback and improve themselves (e.g. reward modeling, preference elicitation, and human-in-the-loop reinforcement learning).

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.