Machine Learning and Material Science Research Scientist
DeepMind(4 days ago)
About this role
A Google DeepMind AI & Materials Researcher conducts research at the intersection of computational physics and modern machine learning to accelerate discovery of functional materials. The role supports DeepMind's materials program by developing AI-driven simulation models and integrating computational prediction with experimental workflows to enable closed-loop discovery.
Required Skills
- Python
- PyTorch
- JAX
- TensorFlow
- Computational Physics
- Materials Science
- DFT
- Molecular Dynamics
- GNNs
- Equivariant Models
+6 more
Qualifications
- Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related field
About DeepMind
deepmind.googleGoogle DeepMind is an AI research lab within Alphabet focused on solving intelligence and building safe, general-purpose artificial intelligence to advance science and benefit humanity. It develops cutting-edge machine learning methods—especially deep learning, reinforcement learning and neuroscience-inspired models—and has produced landmark systems such as AlphaGo, AlphaZero and AlphaFold. DeepMind partners with academia, healthcare providers and other Google teams to apply AI to scientific discovery, medicine, energy efficiency and real-world problems. The organization emphasizes safety, interpretability and responsible deployment alongside publishing research and tools for the wider community.
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