Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're seeking an AI Research Scientist to architect next-generation neural networks and shape the future of autonomous systems. In this pivotal role, you'll collaborate with Nobel laureates and pioneer breakthroughs in quantum-AI convergence that will redefine industries by 2026.
Our state-of-the-art Silicon Valley campus offers unparalleled resources for experimental research, including access to our 128-qubit quantum computing cluster. You'll lead projects with direct impact on global healthcare diagnostics and climate modeling initiatives targeting 2026 implementation milestones.
Responsibilities
- Design and implement novel deep learning architectures for 2026-scale autonomous systems
- Lead quantum-AI fusion experiments using our proprietary 128-qubit testbed
- Publish 3+ peer-reviewed papers annually in top-tier AI/quantum journals
- Mentor PhD researchers on 2026 technology roadmaps
- Collaborate with MIT and Stanford on $50M+ grant proposals
- Develop ethical frameworks for AI systems deployed by 2026
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (2020-2023 graduates encouraged)
- 5+ years experience with transformer architectures and quantum machine learning
- Publication record at NeurIPS/ICML with 2026-focused research
- Proficiency in PyTorch, TensorFlow, and Qiskit frameworks
- Experience securing $1M+ in research funding
- Deep understanding of quantum decoherence mitigation techniques