# Research Scientist, AQUA

**Company**: Google DeepMind
**Location**: Bangalore, India
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7640947
**Canonical**: https://yubhub.co/jobs/job_d68ddd2d-5bf

## 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.

## Skills

### Required
- Reinforcement Learning
- Machine Learning Optimization
- Large Language Models
- Autonomous Agents
- Deep Learning
- Natural Language Processing
- Computer Vision
- Speech Processing
- JAX
- TensorFlow
- PyTorch

### Nice to have
- Multimodal Learning
- Assistive AI Agents
- Prompt Engineering
- Few-Shot Learning
- Post-Training Techniques
- Evaluations