Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we develop cutting-edge AI systems for 2026 and beyond. As a 2026 AI Research Scientist, you'll lead breakthrough research in quantum machine learning and neural networks, shaping the future of human-AI collaboration. Our dynamic team operates at the intersection of theoretical physics and applied artificial intelligence, tackling challenges that will redefine industries.
Responsibilities
- Design and implement novel quantum-inspired algorithms for next-generation AI models
- Lead cross-functional research initiatives on 2026-era neural architectures
- Collaborate with quantum computing teams to develop hybrid AI-quantum systems
- Publish findings in top-tier AI/quantum computing journals and conferences
- Translate theoretical breakthroughs into scalable production prototypes
- Develop ethical frameworks for advanced AI deployment in 2026+ landscapes
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (or equivalent experience)
- 3+ years experience in quantum machine learning or advanced neural networks
- Expertise in Python, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
- Proven track record of publishing in AI/quantum computing (NeurIPS, ICML, QIP)
- Strong background in theoretical physics and computational complexity
- Experience with ethical AI governance frameworks and bias mitigation