Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we engineer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing integration, and neural network optimization. Work in our state-of-the-art Austin R&D hub alongside Nobel laureates and Turing Award winners to redefine human-machine interaction.
Responsibilities
- Lead R&D initiatives in generative AI and predictive modeling for 2026-era applications
- Architect quantum-classical hybrid computing frameworks
- Develop ethical AI governance protocols for next-gen autonomous systems
- Collaborate with MIT and Stanford on federated learning projects
- Secure $2M+ in DARPA and NSF research grants
- Mentor PhD candidates in advanced neural architecture design
Qualifications
- PhD in Computer Science, Quantum Physics, or related field
- 5+ years in production-level AI/ML systems at FAANG-tier companies
- Published research in top-tier journals (NeurIPS, Nature AI)
- Expertise in quantum machine learning frameworks (Qiskit, PennyLane)
- Proficiency in Python, TensorFlow, and PyTorch
- Security clearance eligibility preferred