Job Description
Join QuantumLeap Labs to architect the future of artificial intelligence. We're pioneering breakthrough AI systems that will redefine industries by 2026, and we need visionary engineers to turn this vision into reality. In this role, you'll develop cutting-edge machine learning models, optimize neural networks for quantum computing environments, and collaborate with world-class researchers to solve humanity's most complex challenges.
We offer a dynamic startup culture with unlimited growth potential, equity participation, and the opportunity to shape the next technological revolution. Our state-of-the-art lab features GPU-accelerated supercomputing clusters and direct partnerships with leading quantum computing providers.
Responsibilities
- Design and implement advanced ML pipelines for quantum-entangled data processing
- Develop generative AI models capable of autonomous scientific discovery
- Optimize neural architectures for hybrid quantum-classical computing environments
- Create real-time AI systems with predictive capabilities for 2026 industry scenarios
- Lead cross-functional R&D projects in collaboration with MIT and Stanford researchers
- Architect ethical AI frameworks aligned with 2026 global regulatory standards
- Pioneer new neural transfer techniques for cross-domain knowledge synthesis
Qualifications
- PhD in Computer Science/AI or equivalent with 5+ years industry experience
- Expertise in PyTorch/TensorFlow with quantum computing SDK integration
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Proficiency in quantum programming languages (Qiskit, Cirq)
- Experience with distributed ML frameworks (Ray, Horovod)
- Deep understanding of transformer architectures and generative models
- Portfolio of deployed AI systems processing >1TB datasets
- Ability to translate complex mathematical concepts into production code