AI Engineer shaping AI solutions for Laurel's AI Time platform. Collaborating across the stack from data pipelines to production - grade features.
About the role
- AI Engineer designing and building deep learning models predicting physical phenomena for hardware design solutions. Collaborating with experts in geometry, physics, materials science, and computer science.
Responsibilities
- Design, build, train and ship deep learning models that understand and accurately predict physical phenomena
Requirements
- A PhD in theoretical, experimental, or computational physics, mechanical engineering, applied math or machine learning
- A track record of high impact publications in physics, engineering, and/or machine learning
- 3+ Years experience applying deep learning to problems in physics and/or mechanical engineering
- A solid understanding of high performance computing as it relates to computational physics in large 3D / computer vision applications
- Strong software skills beyond prototyping (e.g., Python, PyTorch, JAX, GIT)
- Ability to break down challenging problems at the confluence of physics and AI, solve them quickly, and support the solutions in production software
- An entrepreneurial spirit
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