Research Scientist, Agents, DeepMind
Google DeepMind (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead research and development of novel algorithmic architectures for autonomous agents using reinforcement learning and large language models.
- Design, implement, and evaluate models, agents, and prototypes of large foundational models contributing to Artificial General Intelligence.
- Communicate research findings internally and externally; collaborate with internal teams and external labs, including Responsible AI teams to ensure ethical AI development.
Minimum Requirements
- PhD in Computer Science, Artificial Intelligence, or related field, or equivalent practical experience.
- Minimum 8 years of experience with machine learning frameworks such as JAX, TensorFlow, or PyTorch.
- Experience with advanced deep learning and reinforcement learning techniques.
- Publication record in reputable machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).
Ideal Candidate Profile
- Experienced researcher with strong background in reinforcement learning, large language models, and autonomous agent development.
- Proven ability to independently design, implement, and evaluate cutting-edge machine learning models at scale.
- Comfortable working collaboratively across research domains and with cross-functional teams on complex AI problems.