Research Engineer, Materials Science
Core
Develop infrastructure for running experiments and enable new research by applying machine learning and computational techniques to materials science, physics, and quantum chemistry.
Role type
Research Engineer (Materials Science & AI)
Builds
Infrastructure for automated experimentation, ML models, and tools for scientific discovery
Domain
Materials Science, Physics, Quantum Chemistry, Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Software engineering principles, Linear algebra, Calculus, Statistics, Large dataset analysis, Jax, PyTorch, TensorFlow, NumPy, Pandas
Preferred skills
Inorganic chemistry, Solid-state physics, Materials synthesis, Deep learning architectures (transformers, diffusion models), Large-scale scientific simulations, Custom LLM agents, Concurrent/distributed algorithms
Technologies
Jax, PyTorch, TensorFlow, NumPy, Pandas
Responsibilities
Plan and perform rapid prototyping of ML techniques for scientific problems, Undertake exploratory analysis to inform research directions, Make improvements to model architectures and training procedures, Implement tools and libraries to speed up research, Report and present software developments and experimental results, Collaborate with internal and external scientific domain experts
Seniority
Mid-to-Senior level (Masters or PhD preferred)