Research Scientist, AQUA · Google DeepMind

Tue, 31 Mar 2026 18:26:50 GMT
Engineering

Google DeepMind · Bangalore, India · onsite

Job Title: Research Scientist, AQUA

We are seeking a highly motivated and innovative Research Scientist to join our team in Bangalore, 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 conduct cutting-edge research on large language models (LLMs), focusing on the development of more capable, robust autonomous agents.

Key Responsibilities:

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.

About You:

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI.

You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.

You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.

Requirements:

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:

Experience with multimodal learning, large language models, and/or assistive AI agents.

Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.

Familiarity with large-scale model training and deployment.

Strong programming skills in Python or similar languages.

Excellent communication and collaboration skills.