The Post-training Agentic Research Scientist role at DeepMind focuses on advancing the capabilities of digital agents through research and development. The position involves working on large-scale tests and deploying innovative ideas in machine learning and artificial intelligence. The scientist will contribute to real-world problems across various domains, including reinforcement learning and natural language processing. This role emphasizes collaboration with the wider research community and aims to push the boundaries of AI technology for public benefit.

• PhD degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• 2 years of experience in developing and training machine learning models.
• Experience developing and deploying models using deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with Large Language Models, NLP, or Generative AI.
• Experience in Python programming.

• Make core contributions to Gemini that advance what digital agents can do and are deployable into production.
• Identify model areas of improvement.
• Train and evaluate agents across various digital environments.
• Focus on multi-step reinforcement learning in multimodal, digital environments.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.