Lead AI/ML Engineer
Rochester, NY | Laboratory for Laser Energetics (LLE), University of Rochester
The Laboratory for Laser Energetics is seeking a highly skilled and collaborative Lead AI/ML Engineer to help build the next generation of AI-driven scientific systems supporting cutting-edge research in:
Inertial confinement fusion (ICF)
High-energy-density physics
Materials science
Experimental diagnostics & simulation analysis
This role is ideal for someone excited by the intersection of advanced AI and frontier science. You’ll work alongside physicists, chemists, and engineers to architect and deploy machine learning solutions that accelerate scientific discovery and enable real-time decision-making.
Key areas include:
• Large language models (LLMs) & agentic AI systems
• Scientific inference pipelines
• GPU/HPC infrastructure
• ML model deployment & lifecycle management
• AI tools for diagnostics, materials prediction, and plasma modeling
We’re looking for candidates with strong experience in:
✔ PyTorch, TensorFlow, or JAX
✔ ML infrastructure & production systems
✔ LLM ecosystems (OpenAI, Hugging Face, LLaMA, Mistral, etc.)
✔ Docker, Kubernetes/OpenShift, APIs, and CI/CD workflows
Preferred experience includes scientific computing, HPC environments, and interdisciplinary collaboration across research and engineering teams.
Salary range: $90,000 – $175,000 annually
If you’re passionate about applying AI to some of the most challenging scientific problems in the world, we’d love to hear from you.
Apply now or share with your network!