Job Description
Join QuantumLeap Technologies at the forefront of 2026's quantum computing revolution. We're pioneering the next generation of AI systems that blend quantum mechanics with machine learning to solve previously unsolvable problems. As an AI Research Scientist, you'll lead breakthrough research in quantum neural networks, collaborate with Nobel laureates, and shape the future of artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that celebrates bold innovation.
We offer competitive equity packages, unlimited PTO, and a benefits package including comprehensive health coverage and 401k matching. This role requires on-site collaboration 3 days/week to foster interdisciplinary breakthroughs.
Responsibilities
- Design and implement quantum machine learning algorithms for NLP and computer vision applications
- Lead research on quantum neural network architectures and optimization techniques
- Collaborate with hardware engineers to develop quantum-classical hybrid systems
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Secure research funding through federal grants and industry partnerships
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years of ML research
- Expertise in quantum computing frameworks (Qiskit, Cirq) and Python
- Published record in quantum machine learning or adjacent fields
- Strong background in deep learning frameworks (TensorFlow/PyTorch)
- Experience with high-performance computing and GPU acceleration
- Demonstrated ability to translate theoretical research into practical applications
- Excellent written and verbal communication skills