Research Engineer, Materials Science

About this role

Google DeepMind seeks a Research Engineer to accelerate materials science discovery by combining AI, computational simulation, and automated experimentation. You'll collaborate with an interdisciplinary team to prototype machine learning solutions, build research infrastructure, and explore novel applications of AI to materials problems.

What you'll do

• Prototype machine learning techniques for scientific problems in materials research
• Conduct exploratory analysis to guide experimentation and research directions
• Optimize model architectures and training procedures for ML systems
• Develop tools, libraries, and frameworks to enable new research
• Present software developments, experimental results, and data analysis findings
• Collaborate with internal and external scientific domain experts

What they're looking for

• Software engineering in research environments
• Linear algebra, calculus, and statistics
• Machine learning libraries (JAX, PyTorch, TensorFlow, NumPy, Pandas)
• Large-scale data exploration and visualization
• Deep learning architectures (transformers, diffusion models)
• Materials science or computational chemistry domain knowledge
• Distributed computing and HPC systems
• LLM agents or tool-using systems development