Job Description
Join QuantumLeap Labs at the forefront of technological innovation! We're seeking visionary AI Research Scientists to architect breakthrough solutions for 2026 and beyond. Shape the future of machine learning while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility. Enjoy competitive equity packages, unlimited R&D budgets, and the opportunity to publish in top-tier journals.
Responsibilities
- Design and implement cutting-edge neural network architectures for quantum-classical hybrid systems
- Lead cross-functional teams in developing ethical AI frameworks for autonomous decision-making
- Publish 3+ peer-reviewed papers annually on generative adversarial networks
- Optimize large-scale models for edge computing deployment
- Collaborate with hardware engineers to co-design neuromorphic computing systems
- Present findings at premier conferences like NeurIPS and ICML
Qualifications
- PhD in Computer Science, Mathematics, or Physics with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Proven track record of publishing in top-tier AI/ML journals
- Deep understanding of quantum computing principles and variational algorithms
- Strong background in reinforcement learning and multi-agent systems
- Experience with MLOps pipelines and model lifecycle management