Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we architect the intelligent systems of tomorrow. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum-enhanced machine learning and autonomous decision-making frameworks for our 2026 roadmap. This role offers unparalleled opportunities to shape the next generation of AI paradigms while collaborating with Nobel laureates and Turing Award recipients in our state-of-the-art San Francisco innovation hub.
Responsibilities
- Design and implement novel quantum-computing algorithms for next-gen neural networks
- Lead research initiatives in explainable AI and ethical autonomous systems
- Develop proprietary frameworks for real-time multimodal data fusion
- Collaborate with hardware teams to co-design AI-optimized quantum processors
- Publish peer-reviewed papers at top-tier AI/quantum conferences
- Mentor PhD researchers in advanced deep learning methodologies
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years research experience
- Expertise in quantum machine learning and tensor network computations
- Proven track record of publishing at NeurIPS/ICML/ACL or equivalent
- Mastery of Python, TensorFlow, and quantum programming frameworks (Qiskit/Cirq)
- Experience with distributed AI training on quantum-classical hybrid systems
- Strong background in algorithmic complexity theory and computational models