At a Glance
- Tasks: Design scalable experiments and build reliable infrastructure for AI projects.
- Company: Join Google DeepMind, a leader in AI research and innovation.
- Benefits: Competitive salary, cutting-edge resources, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on pushing technological boundaries.
- Why this job: Be at the forefront of AI development and make a significant impact.
- Qualifications: Experience in research or engineering, particularly in AI and reinforcement learning.
The predicted salary is between 60000 - 80000 £ per year.
Google Deep Mind is seeking a Research Scientist or Research Engineer to push the frontier of agentic tasks in post-training large language models within the Gemini post-training team.
You will bridge research and engineering by designing scalable experiments, building reliable infrastructure for tool use and reinforcement learning, and collaborating with researchers and engineers to accelerate project velocity.
We think you need these skills to ace Research Scientist, Post-Training Agentic AI & RL
Research Skills
Engineering Skills
Experiment Design
Infrastructure Development
Reinforcement Learning
Collaboration Skills
Project Management
