Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer next-generation neural networks and quantum-ML hybrids. Our cutting-edge lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into scalable solutions that will redefine industries. Collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's mandated.
What You'll Experience:
- State-of-the-art quantum computing infrastructure
- Unlimited research budget with annual $50K innovation grants
- Equity packages in our pre-IPO unicorn trajectory
Responsibilities
- Design and implement novel AI architectures for 2026-era applications
- Lead cross-functional teams in deploying ML models at quantum scale
- Publish breakthrough research in top-tier AI/quantum journals
- Secure $5M+ in government/private research grants
- Develop ethical frameworks for autonomous systems
- Mentor PhD candidates in emerging AI disciplines
- Patent 3+ core technologies annually
Qualifications
- PhD in Machine Learning, Quantum Computing, or related field
- 5+ years experience in neural network optimization
- Published research in NeurIPS/ICML/Science (2020-2024)
- Proficiency in TensorFlow Quantum and Qiskit
- Deep understanding of quantum error correction
- Track record of translating research to production systems
- Expertise in federated learning at scale
- Strong background in theoretical computer science