Job Description
Shape the future of artificial intelligence at QuantumLeap Dynamics. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural networks. Join our interdisciplinary team at the forefront of 2026's technological revolution, where your work will redefine human-AI collaboration.
Our San Francisco hub offers unparalleled resources for experimentation, including access to quantum computing clusters and petabyte-scale datasets. You'll collaborate with Nobel laureates and industry disruptors while enjoying flexible work arrangements and comprehensive benefits.
Responsibilities
- Design and implement novel quantum neural network architectures
- Lead cross-functional research projects on explainable AI and ethical machine learning
- Publish peer-reviewed papers in top-tier AI and quantum computing journals
- Develop scalable algorithms for real-time inference on quantum hardware
- Mentor junior researchers and drive innovation through technical workshops
- Collaborate with product teams to translate research into commercial applications
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years' research experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of publications at NeurIPS, ICML, or equivalent venues
- Proficiency in Python, TensorFlow, and PyTorch with quantum computing libraries
- Strong background in theoretical computer science and linear algebra
- Demonstrated ability to secure research grants and industry partnerships
- Experience with distributed computing systems and GPU acceleration