Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution. We're pioneering the next generation of AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning and neural-symbolic integration. Our collaborative environment empowers you to transform theoretical concepts into scalable, real-world applications that shape tomorrow's digital landscape.
We offer competitive equity packages, unlimited learning stipends, and a culture that celebrates intellectual curiosity. Located in San Francisco's vibrant tech corridor, our state-of-the-art labs provide the resources to accelerate your research impact.
Responsibilities
- Develop novel quantum neural networks for 2026-era computing paradigms
- Lead cross-functional teams to deploy AI solutions in autonomous systems and healthcare diagnostics
- Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Architect hybrid AI frameworks combining classical ML with quantum processing
- Collaborate with MIT and Stanford on next-generation AI safety protocols
- Secure $5M+ in research grants for 2026-focused initiatives
Qualifications
- PhD in Computer Science, Quantum Computing, or related field with 3+ years industry experience
- Published research in quantum machine learning or neuromorphic computing
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Proven track record of deploying production-grade AI systems
- Deep understanding of 2026 AI ethics and regulatory frameworks
- Experience with large-scale distributed computing environments
- Strong background in Bayesian optimization and reinforcement learning