Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthrough solutions for 2026 and beyond. We seek an exceptional AI/ML Research Scientist to architect next-generation intelligent systems that will redefine human-machine interaction. This role offers unparalleled opportunities to collaborate with Nobel laureates and disrupt industries through quantum-optimized machine learning models.
Our state-of-the-art research lab in San Francisco provides an ecosystem where innovation thrives. You'll lead cross-functional teams to develop autonomous AI frameworks, neural networks with human-equivalent cognition, and ethical governance protocols for AGI development. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak productivity.
Responsibilities
- Architect and deploy quantum-enhanced machine learning algorithms for predictive analytics and autonomous decision-making
- Lead research initiatives in neuromorphic computing and brain-computer interfaces
- Develop ethical AI governance frameworks aligned with IEEE 7000 standards
- Collaborate with quantum computing teams to optimize ML models for qubit processing
- Author breakthrough research papers for Nature AI and top-tier conferences
- Mentor junior researchers in advanced neural network optimization techniques
- Translate theoretical models into production-ready systems with 99.99% reliability
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years of ML research experience
- Published 10+ peer-reviewed papers in top-tier AI/ML conferences
- Expertise in PyTorch, TensorFlow Quantum, and quantum circuit design
- Proficiency in C++/Python for high-performance computing environments
- Demonstrated experience with federated learning and differential privacy
- Deep understanding of quantum machine learning algorithms (QML)
- Strong background in reinforcement learning for autonomous systems
- Ability to secure $1M+ in research grants from DARPA/NIST