Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll collaborate with Nobel laureates and Turing Award winners to develop breakthrough neural architectures. Our state-of-the-art lab in San Francisco offers unparalleled resources, including quantum computing clusters and petabyte-scale datasets. Enjoy competitive equity packages, unlimited PTO, and flexible hybrid work arrangements. Help shape the future of artificial intelligence and leave your mark on humanity's next great leap.
Responsibilities
- Design and implement novel deep learning architectures for autonomous systems
- Lead cross-functional teams in developing ethical AI frameworks for 2026 applications
- Publish research in top-tier journals (NeurIPS, ICML, Nature AI) and present at global conferences
- Collaborate with quantum computing teams to hybridize classical and quantum AI models
- Drive innovation in explainable AI for high-stakes decision-making systems
- Mentor junior researchers and establish new industry benchmarks for AI performance
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent industry experience)
- 5+ years of experience in deep learning and neural network optimization
- Published research in top-tier AI/ML conferences with 1000+ citations
- Expertise in transformer architectures, reinforcement learning, and multi-agent systems
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
- Strong background in ethics and safety protocols for advanced AI systems
- Demonstrated ability to lead complex research projects from conception to deployment