Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're pioneering quantum-enhanced machine learning models that will redefine industry standards. As a Senior AI Research Scientist, you'll architect breakthrough algorithms in our state-of-the-art facility while collaborating with Nobel laureates and Fortune 500 partners. Our team operates at the intersection of quantum computing, neural networks, and predictive analytics to solve humanity's most complex challenges.
We offer unparalleled benefits: flexible hybrid work, unlimited research budget, equity grants, and dedicated time for academic publications. Our culture celebrates intellectual curiosity and rapid prototyping in a zero-pressure innovation environment.
Responsibilities
- Lead development of quantum-entangled neural networks for real-world applications
- Design next-generation federated learning frameworks for cross-industry collaboration
- Publish 3+ peer-reviewed papers in top-tier AI/quantum journals annually
- Mentor junior researchers through our proprietary Quantum Mentorship Program
- Secure $2M+ in annual research grants through strategic partnerships
- Architect ethical AI governance frameworks aligned with 2026 regulatory standards
- Collaborate with quantum hardware engineers to optimize algorithm-hardware co-design
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (or equivalent experience)
- 5+ years of hands-on experience with quantum machine learning frameworks
- Published record in NeurIPS/ICML/Science journals (H-index >15)
- Expertise in TensorFlow Quantum, Qiskit, or PennyLane
- Proficiency in high-performance computing environments (AWS Braket, IBM Q)
- Demonstrated ability to secure federal research grants (NSF/NIH/DARPA)
- Deep understanding of quantum error correction and decoherence mitigation
- Fluency in Python, C++, and quantum assembly languages