Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As an AI Research Scientist, you'll develop next-generation machine learning models for autonomous systems, biotech simulations, and climate prediction engines. Our state-of-the-art facility in San Francisco's Tech Hub offers unparalleled resources including quantum computing clusters and neuro-interfacing labs. Collaborate with Nobel laureates and disrupt industries while shaping humanity's digital future.
Responsibilities
- Design and implement novel neural architectures for quantum-enhanced AI applications
- Lead cross-functional teams in developing autonomous system prototypes
- Author breakthrough research papers for top-tier conferences (NeurIPS, ICML)
- Optimize large-scale biotech simulations using federated learning
- Develop ethical AI frameworks for climate modeling initiatives
- Secure $1M+ in research grants from NSF and DARPA
- Mentor PhD researchers in quantum machine learning techniques
Qualifications
- PhD in Computer Science, Quantum Physics, or related field
- 5+ years of research experience in quantum machine learning
- Published 10+ papers in top-tier AI/quantum journals
- Expertise in TensorFlow, PyTorch, and quantum SDKs (Qiskit, Cirq)
- Proficiency with neuro-symbolic AI integration frameworks
- Strong background in ethical AI governance frameworks
- Demonstrated success securing government research funding
- Experience with large-scale distributed computing systems