Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution. We're pioneering next-gen AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum machine learning and neural topology optimization. Our collaborative lab environment fosters innovation with 30% dedicated R&D time and cutting-edge NVIDIA H100 clusters. Enjoy comprehensive benefits including equity, unlimited PTO, and relocation assistance.
Responsibilities
- Develop novel quantum-inspired ML models for real-world applications
- Lead cross-functional teams in prototyping AI-powered autonomous systems
- Publish 2+ peer-reviewed papers annually in top-tier AI conferences
- Optimize neural architectures for edge deployment with <5ms latency
- Collaborate with MIT and Stanford on federated learning initiatives
- Mentor junior researchers through our AI Excellence Program
Qualifications
- PhD in Computer Science, Mathematics, or Physics (or equivalent experience)
- 3+ years in advanced ML research with published papers at NeurIPS/ICML
- Expertise in PyTorch/TensorFlow and quantum computing frameworks
- Proven track record of deploying production-scale AI systems
- Strong background in differential geometry and topological data analysis
- Experience with distributed computing on Kubernetes/AWS