Job Description
Join QuantumLeap Dynamics at the forefront of technological innovation as we pioneer breakthrough AI solutions for 2026 and beyond. As a Senior AI/ML Research Scientist, you'll shape the future of intelligent systems by developing cutting-edge algorithms that solve complex global challenges. We offer unparalleled resources, a collaborative environment with Nobel laureates, and the opportunity to publish groundbreaking research in top-tier journals.
Why QuantumLeap? Our state-of-the-art facility in San Francisco's innovation hub provides access to quantum computing clusters and petabyte-scale datasets. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for your visionary projects.
Responsibilities
- Design and implement novel machine learning architectures for next-gen autonomous systems
- Lead cross-functional research teams to develop ethical AI frameworks
- Collaborate with quantum computing specialists to accelerate algorithmic breakthroughs
- Publish peer-reviewed research and present findings at global tech conferences
- Translate theoretical models into production-ready solutions with 99.9% reliability
- Mentor junior researchers and establish best practices for reproducible science
- Secure research grants from NSF and DARPA for high-impact projects
Qualifications
- PhD in Computer Science, Mathematics, or related field with 5+ years industry experience
- Published record in top-tier venues (NeurIPS, ICML, Nature AI) or equivalent impact
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum ML algorithms
- Proficiency in distributed computing (Spark, Kubernetes) and large-scale data pipelines
- Strong background in reinforcement learning and generative adversarial networks
- Demonstrated ability to secure $500K+ in competitive research funding
- Fluency in Python, C++, and high-performance computing environments
- Experience deploying AI solutions in regulated industries (healthcare/finance)