Job Description
Shape the future at QuantumLeap Labs as we pioneer next-generation AI systems for 2026. Join our elite research team developing autonomous reasoning engines that will redefine human-machine collaboration. This role offers unparalleled opportunity to work at the intersection of quantum computing and neural networks, with resources dedicated to publishing groundbreaking research at premier conferences like NeurIPS and ICML.
We're seeking visionaries who thrive in ambiguous environments and can translate theoretical breakthroughs into practical applications. Our lab operates at the bleeding edge of technology, with access to quantum processors and petascale computing infrastructure. You'll collaborate with Nobel laureates and industry disruptors while contributing to projects that will impact billions of lives.
Responsibilities
- Design and implement novel neural architectures for 2026-era autonomous systems
- Lead quantum machine learning experiments using IBM and Rigetti hardware
- Develop ethical frameworks for AGI alignment and bias mitigation
- Author 3+ peer-reviewed publications annually in top-tier AI journals
- Prototype real-time inference systems for edge deployment
- Mentor PhD researchers and cross-functional engineering teams
- Secure $2M+ in annual research grants through NSF and DARPA proposals
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (or equivalent industry breakthrough)
- 3+ years of experience with transformer architectures beyond standard LLMs
- Published research in Nature/Science or top-tier ML conferences (NeurIPS, ICML, ICLR)
- Expertise in quantum circuit design and error correction protocols
- Proficiency in PyTorch, TensorFlow Quantum, and Qiskit frameworks
- Demonstrated ability to lead cross-disciplinary research teams
- Deep understanding of causal inference and counterfactual reasoning
- Strong track record of translating research into commercial products