Senior Quantum AI Research Scientist, Applied Research
Core
Architecting and building AI solutions for fault-tolerant quantum systems, specifically focusing on quantum error correction, decoding, calibration, and model development.
Role type
Senior Applied Research Scientist (Quantum AI)
Builds
Open AI models, curated datasets, and rigorous benchmarks for the quantum ecosystem.
Domain
Quantum Computing / Machine Learning
Deliverable
production ML models
Required skills
Quantum Information Science, Machine Learning, Deep Learning, Quantum Error Correction, Fault-tolerant protocols, Quantum noise models, CUDA programming, High-performance computing (HPC), Distributed training frameworks
Preferred skills
Learned decoders, AI-driven calibration systems, Parameter-efficient fine-tuning (LoRA, QLoRA), Domain adaptation for scientific AI
Technologies
PyTorch, JAX, Megatron-LM, CUDA
Responsibilities
Design and architect AI/ML models for quantum error correction and real-time calibration; Develop cutting-edge AI techniques for quantum computing; Create high-quality, large-scale datasets for quantum error correction; Collaborate with quantum hardware teams to collect and structure training data; Co-design AI solutions with hardware and software teams; Communicate research findings through top-tier venues.
Seniority
Senior, hands-on IC
