Research Scientist, Recursive Self Improvement and Post Training
Google DeepMind · Singapore
Frontier labonsite
At a glance
Highlights
- Work on recursive self-improvement and post-training for Gemini.
- Push frontier-level math and code to drive breakthroughs for science.
- Join Gemini core team tackling humanity's critical path to AGI.
Ideal candidate
A PhD-trained researcher who loves setting independent agendas and chasing the next breakthrough in reasoning and self-improving AI, thriving in fast-paced collaboration to advance Gemini and science.
Requirements
- PhD in Computer Science, AI, Robotics, Math, Physics, Computational Biology or related STEM field
- 3 years initiating, scoping and executing independent research agendas or leading academic projects
- Research experience in reinforcement learning, reasoning or agentic coding with LLMs
- One or more peer-reviewed publications (e.g., NeurIPS, ICML, ICLR) or public arXiv preprints
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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