Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural-symbolic integration. Shape the future of artificial intelligence in our state-of-the-art San Francisco lab, where your work will directly impact next-generation autonomous systems and ethical AI frameworks.
Responsibilities
- Design and implement novel quantum neural network architectures for 2026-era computational challenges
- Lead cross-functional teams in developing explainable AI frameworks for high-stakes decision systems
- Publish groundbreaking research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Collaborate with hardware engineers to optimize AI models for next-gen quantum processors
- Establish ethical governance protocols for autonomous systems deployed in 2026
- Secure $5M+ in government grants for cutting-edge AI safety research
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (or equivalent research experience)
- 3+ years publishing peer-reviewed papers on quantum machine learning or neural-symbolic AI
- Proficiency in Python, TensorFlow/PyTorch, and quantum computing frameworks (Qiskit, Cirq)
- Demonstrated experience with large-scale distributed training on HPC clusters
- Deep understanding of quantum advantage principles and NISQ-era limitations
- Strong track record of translating theoretical research into production-ready systems
- Expertise in AI safety, fairness, and interpretability frameworks