Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering breakthroughs in quantum-AI fusion and autonomous systems that will reshape industries. As an AI Research Scientist, you'll architect next-generation neural networks and collaborate with Nobel laureates to solve humanity's grandest challenges.
Our state-of-the-art campus offers unparalleled resources: quantum computing clusters, neurosynaptic hardware, and unlimited research budgets. Enjoy flexible schedules, sabbatical programs, and equity in a company valued at $2B+.
Responsibilities
- Design and implement novel AI architectures for quantum-resistant systems
- Lead cross-functional teams to deploy 2026-era autonomous frameworks
- Publish 3+ peer-reviewed papers in top-tier journals annually
- Develop ethical AI governance protocols for next-gen neural networks
- Collaborate with DARPA and ESA on interstellar computing projects
- Mentor PhD fellows in quantum machine learning methodologies
Qualifications
- PhD in AI/ML, Quantum Computing, or related field (2020-2026)
- 5+ years in neural network optimization at FAANG or equivalent
- Published work in Nature/Science on quantum-AI hybrid systems
- Expertise in transformer architectures and neuromorphic computing
- Proficiency in PyTorch 3.0+ and quantum SDKs (Qiskit, Cirq)
- Security clearance for government-level R&D projects
- Fluency in Python, Rust, and quantum assembly languages