
Post-Doctoral Researcher, PhD, DeepMind, 2026 Start (Fixed-Term Contract)
Google · Posted Nov 8
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
DeepMind's AQUA team in India works at the frontier of AI agents, focusing on autonomous self-improvement, reinforcement learning, and the safety and alignment of agents. The 12- to 24-month post-doctoral role conducts human-computer interaction research on how people interact with, oversee, and provide feedback to increasingly autonomous AI agents. The researcher will design and evaluate novel interfaces and interaction techniques through user studies to inform how agents learn from human feedback.
What you will do
- 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).
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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