Machine Learning Post Doctoral Research Scientist
Core
Conduct original research and develop novel technologies in machine learning, bridging frontier research with real-world impact in areas like nuclear fusion, supercomputing, and AI/LLM systems.
Role type
Post-doctoral research scientist (hands-on IC)
Builds
Novel ML technologies, software prototypes, and research publications for high-impact applications
Domain
Artificial Intelligence / Machine Learning / Clean Energy / Supercomputing
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Reinforcement Learning, Large Language Models (LLMs), Generative Diffusion Models, Multi-agent systems, Python, PyTorch, GPU acceleration, Model optimization, Software engineering
Preferred skills
Nuclear fusion applications, Generative models, Uncertainty quantification, Digital twins, Control systems, World models
Technologies
PyTorch, Python, GPU
Responsibilities
Conduct original research in advanced agentic implementation and reinforcement learning; Develop novel technologies for complex physical systems; Provide technical thought leadership and shape emerging technology opportunities; Collaborate with internal teams and external partners; Publish at leading venues and develop patent disclosures; Perform software prototyping and engineering for production-relevant use cases
Seniority
Post-doctoral, hands-on IC
