Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions that will redefine 2026 and beyond. We seek an AI Research Scientist to develop cutting-edge machine learning models that will power next-generation autonomous systems and quantum computing interfaces. This role offers unparalleled opportunities to shape the future of human-machine collaboration in a dynamic, innovation-driven environment.
Your Impact: You will lead breakthrough research in generative AI and neural networks, directly contributing to projects that will transform industries by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement novel deep learning architectures for predictive analytics and natural language processing
- Lead quantum-AI hybrid system development to solve previously intractable computational problems
- Publish peer-reviewed research in top-tier journals (Nature, Science, NeurIPS)
- Mentor junior researchers and cross-functional engineering teams
- Translate theoretical breakthroughs into scalable production-ready prototypes
- Secure $5M+ in research grants through DARPA and NSF proposals
- Present findings at global conferences including AI World 2026
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years of industry research experience
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Proven track record of developing production-level AI systems serving 1M+ users
- Strong background in reinforcement learning and generative adversarial networks
- Experience with high-performance computing (HPC) and distributed training
- Ability to secure competitive research funding
- Exceptional problem-solving skills for complex multidisciplinary challenges