Full-Time

Research Scientist, AQUA at Google DeepMind

Company Google DeepMind
Location Bangalore, India
How You'll Work onsite
Level senior
Sector Technology
Posted Posted on March 16, 2026

Job Description

Join our team in Bangalore as a Research Scientist, focused on advancing the state-of-the-art in autonomous agents through reinforcement learning and ML optimization methods.

As a Research Scientist at Google DeepMind, you will lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

Key responsibilities include:

  • Design, implement and evaluate models, agents and software prototypes of large foundational models.
  • Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.
  • Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
  • Suggest and engage in team collaborations to meet ambitious research goals.
  • Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
  • Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.

Requirements include:

  • PhD in Computer Science, Artificial Intelligence, or a related field.
  • Strong publication record in top-tier machine learning conferences or journals.
  • Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
  • Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred qualifications include experience with multimodal learning, large language models, and/or assistive AI agents.

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