Research Scientist, AQUA, DeepMind
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Minimum qualifications:
- PhD degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
- 2 years of experience with machine learning frameworks (e.g., JAX, TensorFlow, or PyTorch).
- Experience with advanced deep learning and reinforcement learning.
- Publication record in machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).
Preferred qualifications:
- Experience with multimodal learning, large language models, 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.
About the job
The Agents team at Deepmind India is driven by the mission of developing foundational capabilities in Large Models towards realizing Artificial General Intelligence (AGI). We focus on uncovering emergent agentic behaviors through novel reinforcement learning algorithms run at scale.We are seeking a highly motivated and Research Scientist to join our team in Bengaluru, focused on advancing in autonomous agents through reinforcement learning and ML optimization methods.
In this role, you will conduct research on large language models (LLMs), focusing on the development of more capable autonomous agents. You will lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. You will work collaboratively within and across Research fields, and will develop solutions to fundamental questions in machine learning and AI.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Design, implement, and evaluate models, agents, and software prototypes of large foundational models.
- Push the boundary of Reinforcement Learning and ML 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 and external collaborations, maintaining relationships with relevant research labs.
- Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
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