Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution. We're pioneering next-generation artificial intelligence systems that will redefine human-computer interaction. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in quantum machine learning and neural architecture optimization. Our state-of-the-art facility in San Francisco offers unparalleled resources, including access to quantum computing clusters and petabyte-scale datasets. We offer comprehensive benefits, including equity, flexible work arrangements, and a $10,000 annual innovation stipend.
Responsibilities
- Design and implement novel deep learning architectures for quantum computing systems
- Lead cross-functional teams in translating theoretical models into production-ready AI solutions
- Publish groundbreaking research in top-tier journals and conferences (NeurIPS, ICML, Nature AI)
- Develop ethical AI frameworks aligned with 2026's regulatory standards
- Mentor junior researchers and drive innovation through quarterly hackathons
- Collaborate with hardware teams to optimize AI-quantum hardware interfaces
- Secure $2M+ in annual research grants from government and private sector partners
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of hands-on experience with quantum computing frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of publishing top-tier AI research (h-index >20)
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Strong programming skills in Python, PyTorch, and TensorFlow
- Experience leading $500K+ research projects with measurable impact
- Deep understanding of AI ethics, bias mitigation, and responsible AI development
- Ability to translate complex concepts for both technical and non-technical stakeholders