The Research Scientist role at DeepMind focuses on advancing AI development through large-scale agent post-training research. The team is dedicated to solving complex global challenges and innovating high-quality products for users. This position involves conducting experiments, managing research processes, and collaborating with interdisciplinary teams. The role also emphasizes contributing to the wider research community by sharing findings and insights.

• PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
• 2 years of experience with machine learning frameworks such as JAX, Flax, or PyTorch.
• Experience conducting research in reinforcement learning, tool use, or agentic systems.

• Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.
• Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.
• Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.
• Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.
• Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.

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