Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-computing-optimized neural networks, developing algorithms that process exabyte-scale datasets with unprecedented efficiency. Our state-of-the-art San Francisco campus offers collaborative innovation spaces, dedicated quantum labs, and resources to transform theoretical concepts into real-world impact. Shape the future by solving humanity's most complex challenges while working alongside Nobel-caliber researchers in a culture that rewards bold experimentation and intellectual curiosity.
Responsibilities
- Design and implement quantum-enhanced machine learning frameworks for 2026-era computing architectures
- Lead cross-functional teams in developing AI ethics protocols for autonomous systems
- Author breakthrough research papers for Nature/Science journals on generative AI advancements
- Architect federated learning systems for global privacy-preserving data networks
- Optimize neural networks for neuromorphic computing hardware by 2026
- Mentor PhD candidates in quantum-AI intersection research initiatives
- Secure $5M+ in government grants for 2026 technology roadmapping
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (or equivalent experience)
- 5+ years developing production-level AI systems with 10^9+ parameter models
- Published 3+ top-tier conference papers (NeurIPS, ICML, CVPR) in past 2 years
- Expertise in PyTorch/TensorFlow with quantum circuit integration experience
- Proficiency in C++/Rust for high-performance computing optimization
- Deep understanding of quantum error correction algorithms
- Proven track record leading AI ethics initiatives in regulated industries