Research Scientist, Agents, DeepMind

• 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.
  

Minimum qualifications:

• PhD degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• 8 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 model training and deployment.
• Strong programming skills in Python or similar languages.
  
• Excellent communication and collaboration skills.
  

• PhD degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• 8 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).