Job Description
Shape the future at QuantumLeap Dynamics as we pioneer AI solutions for 2026 and beyond. We seek visionary researchers to develop next-generation machine learning models that will redefine industries. Join our cross-functional team in San Francisco, where you'll collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into real-world applications.
Responsibilities
- Lead research in quantum machine learning and neural network optimization
- Develop scalable AI frameworks for autonomous systems and predictive analytics
- Publish breakthrough findings in top-tier journals and conferences
- Mentor junior researchers and foster innovation through hackathons
- Secure $2M+ in annual research grants from NSF and DARPA
- Translate academic innovations into commercial patents
Qualifications
- PhD in Computer Science, Mathematics, or Physics (2019-2024)
- 5+ years in neural network architecture design
- Published 15+ peer-reviewed papers in ML/AI
- Proficiency in PyTorch, TensorFlow, and quantum computing APIs
- Experience with large-scale distributed computing clusters
- Strong background in ethical AI development and bias mitigation
- Track record of securing competitive research grants