Post-Doctoral Researcher, PhD, DeepMind, 2026 Start (Fixed-Term Contract)
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Science · Software Engineering
In short
Responsibilities
- Conduct research projects aligned with the team's mission to push the frontiers of AI.
- Collaborate with DeepMind scientists and engineers.
- Design and build novel interfaces and interaction techniques for human-agent collaboration.
- Evaluate interfaces and techniques through rigorous user studies.
- Inform how agents learn from human feedback and remain safe and aligned with human intent.
- Publish high-quality work in AI conferences and journals.
- Design and execute large-scale experiments and write high-quality, reusable code.
- Understand how to use research to drive design decisions.
- Design and conduct user studies to understand human interaction with AI agents.
- Develop human-centered evaluation methods and metrics for agent helpfulness, trustworthiness, safety, and alignment.
- Translate insights from human studies into improvements in agent learning from human feedback.
Requirements
- 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.
- Experience 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 submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
Desired 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 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
- 12 to 24-month fixed-term contract.
- Opportunity to explore challenging problems at the forefront of AI.
- Collaborate with leading scientists and engineers at DeepMind.
- Potential to impact products used by billions of users.
- Work in a global company with a mission to build AI responsibly for the benefit of humanity.
- Opportunity to disseminate findings through publications at top ML conferences/journals.
Skills
At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.
Company
GoogleJob Posted
2 days ago
Employment Type
Contract
Work mode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Applicants
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