At a Glance
- Tasks: Lead research on post-training large language models and design scalable experiments.
- Company: Join Google DeepMind, a leader in AI research and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-quality research and development.
- Why this job: Make a real impact in AI by working on cutting-edge technology and agentic tasks.
- Qualifications: Experience in research or engineering with a focus on AI and machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Google DeepMind is seeking a Research Scientist or Research Engineer to lead the full research process for post‑training large language models, focusing on agentic tasks. You will design scalable experiments and build reliable infrastructure for tool use and reinforcement learning. You will collaborate with researchers and engineers to deliver direct impact, from hypotheses to ablations and reports, while balancing research velocity with code quality in a large‑scale AI research environment.
Research Scientist: Post-Training Agentic LLMs employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages creativity and offers ample opportunities for professional growth, while our commitment to ethical AI ensures that your contributions will have a meaningful impact on society. Join us to be part of a team that values diversity and empowers you to excel in your career.