Job Description
Join QuantumLeap Labs at the forefront of 2026's technological frontier. We're pioneering next-generation AI/ML systems that will redefine human-machine interaction. As an AI/ML Research Scientist, you'll architect breakthrough solutions in quantum-inspired machine learning, neural-symbolic integration, and adaptive autonomous systems. Work in our state-of-the-art facility in San Francisco's tech corridor, collaborating with Nobel laureates and Turing Award winners to solve humanity's most complex challenges.
We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation. Your research here will directly impact fields from personalized medicine to climate modeling.
Responsibilities
- Design and implement novel neural architectures for 2026-era AI applications
- Lead cross-functional teams in prototyping quantum-ML hybrid systems
- Develop adaptive algorithms for real-time decision-making in dynamic environments
- Author groundbreaking research papers for top-tier AI conferences (NeurIPS, ICML, ICLR)
- Translate theoretical models into production-ready solutions with 99.99% reliability
- Mentor junior researchers in advanced ML paradigms and ethical AI development
- Secure $5M+ in research grants through NSF, DARPA, and industry partnerships
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Published 10+ papers in top-tier ML/AI conferences (NeurIPS, ICML, ICLR)
- Expertise in quantum computing algorithms and tensor network optimizations
- Proficiency in PyTorch/TensorFlow with distributed training at petascale
- Strong background in causal inference and explainable AI frameworks
- Experience with neuromorphic computing and spiking neural networks
- Demonstrated ability to lead research teams securing $2M+ in funding
- Patent portfolio with 3+ granted AI/ML patents preferred