Job Description
Shape the future at QuantumLeap Dynamics, where innovation meets impact. We're pioneering next-generation AI solutions that will redefine industries by 2026. Join our elite research team to develop groundbreaking algorithms in machine learning, quantum computing, and neural networks. Enjoy unparalleled resources, collaborative cross-functional projects, and the opportunity to publish in top-tier journals while working in our state-of-the-art San Francisco innovation hub.
Responsibilities
- Design and implement cutting-edge AI models for autonomous systems and predictive analytics
- Lead research initiatives in quantum machine learning and federated learning
- Collaborate with engineering teams to prototype and deploy AI solutions at scale
- Publish findings in peer-reviewed journals and present at global tech conferences
- Mentor junior researchers and foster a culture of scientific excellence
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years of industry experience
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and quantum computing APIs
- Proven track record of publishing in NeurIPS, ICML, or Nature Machine Intelligence
- Strong background in reinforcement learning and natural language processing
- Experience with large-scale distributed computing (Spark, Kubernetes)
- Demonstrated ability to translate research into production-ready solutions