Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking an innovative AI Research Scientist to pioneer breakthroughs in quantum machine learning and autonomous systems. Shape the future by developing algorithms that redefine human-machine collaboration while working in our state-of-the-art Austin innovation hub. This role offers unparalleled opportunities to influence emerging technologies that will transform industries by 2026.
Responsibilities
- Lead research initiatives in quantum-entangled neural networks for 2026-era applications
- Develop novel reinforcement learning frameworks for autonomous decision-making systems
- Collaborate with cross-functional teams to prototype AI solutions for next-gen human-computer interfaces
- Author peer-reviewed publications on AI ethics and explainable AI methodologies
- Architect scalable ML pipelines for real-time data processing at edge computing nodes
- Mentor junior researchers in emerging AI paradigms
- Participate in strategic technology roadmapping for 2026 AI adoption
Qualifications
- PhD in Computer Science, Quantum Computing, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
- Proficiency in Python, TensorFlow, and PyTorch with distributed computing
- Deep understanding of 5G/6G network architectures and edge computing constraints
- Experience deploying ML models on quantum processors
- Strong background in AI safety and ethical AI frameworks