Research Engineer, Materials Science
Core
Accelerate the discovery of new functional materials by combining AI, computational simulation, and automated experimentation.
Role type
Research Engineer (Materials Science & ML)
Builds
Infrastructure for running experiments and tools/libraries for scientific research
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 science, undertake exploratory analysis, improve model architectures and training procedures, implement tools and libraries for research, report and present software developments and results, collaborate with scientific domain experts
Seniority
Mid-to-Senior, hands-on IC