Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking an innovative AI/ML Research Scientist to architect breakthrough solutions in quantum computing integration and neural network optimization. Shape the future of human-AI collaboration while working in our state-of-the-art San Francisco hub. Enjoy competitive compensation, flexible work arrangements, and unparalleled opportunities to publish cutting-edge research.
Responsibilities
- Develop novel ML algorithms for quantum-enhanced neural networks
- Lead cross-functional teams in prototyping 2026's next-gen AI applications
- Design scalable architectures for real-time distributed AI systems
- Collaborate with quantum computing specialists to hybridize classical and quantum models
- Author patents and peer-reviewed publications on frontier AI advancements
- Optimize models for edge deployment in IoT ecosystems
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years in applied ML research with Python/TensorFlow/PyTorch
- Published work in NeurIPS/ICML/AAAI or top-tier conferences
- Expertise in quantum computing principles and hybrid AI models
- Proficiency in distributed computing frameworks (Ray, Dask)
- Strong background in reinforcement learning and generative models