Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's greatest challenges. As an AI Research Scientist, you'll architect next-generation neural networks that redefine computational boundaries. Our dynamic team collaborates with MIT and Stanford alumni to deploy breakthrough models in autonomous systems, climate modeling, and personalized medicine. Enjoy unparalleled R&D resources, flexible work arrangements, and equity in a unicorn-backed startup poised to dominate the 2026 tech landscape.
Responsibilities
- Design and implement quantum-enhanced AI architectures for 2026-era applications
- Lead cross-functional teams in deploying neural networks at 10^12 FLOPS scale
- Develop patent-pending algorithms for real-time adaptive learning systems
- Collaborate with hardware teams to optimize AI-quantum co-processing pipelines
- Publish breakthrough research in top-tier AI/quantum journals
- Mentor junior researchers on ethical AI development frameworks
Qualifications
- PhD in Computer Science, AI, or Quantum Physics (or equivalent experience)
- 3+ years developing production-level neural networks at scale
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Published research in NeurIPS/ICML/Science (2020-2023)
- Proficiency in PyTorch/TensorFlow with 100M+ parameter models
- Experience with distributed training on quantum-classical hybrids