The Research Scientist for Gemini Horizon at DeepMind focuses on advancing AI development to tackle complex global challenges. This role involves conducting rigorous research to improve AI models and their capabilities, particularly in memory management and task execution. The team emphasizes innovation and collaboration, contributing to both internal projects and the wider research community. Candidates will work on real-world problems across various domains of computer science, including machine learning and natural language processing.

• 2 years of experience with machine learning algorithms and tools, or applied ML.
• 2 years of experience with Generative AI, AI algorithms, and system design.
• 2 years of industry experience in applied machine learning or machine learning research.
• 2 years of experience with developing machine learning infrastructure, distributed systems, or networks.
• 2 years of experience in an applied research setting.
• Experience coding in Python or C++.

• Deliver step-change improvements to Gemini through rigorous and ambitious research.
• Improve the model's ability to manage its own context and memory natively.
• Make Gemini better at subagent orchestration for memory management.
• Advance complex long horizon task execution combining low latency asynchronous execution and long horizon reasoning.
• Build novel infrastructure and develop novel reinforcement learning algorithms.

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