Job Description
Join QuantumLeap Dynamics at the forefront of 2026 technological evolution. We're pioneering AI-driven solutions for sustainable energy systems and autonomous infrastructure. As a key innovator, you'll architect next-generation neural networks while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources for breakthrough research.
Why QuantumLeap? We offer equity grants, unlimited R&D budget, and flexible hybrid work. Shape the future while enjoying competitive benefits and mentorship from AI pioneers.
Responsibilities
- Design and implement advanced ML models for predictive climate modeling systems
- Lead cross-functional teams in developing quantum-resistant encryption protocols
- Author peer-reviewed publications for top-tier AI conferences by 2026
- Collaborate with neuroscientists to create brain-inspired computing architectures
- Prototype real-time anomaly detection systems for smart city infrastructure
- Mentor PhD candidates in applied AI research methodologies
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years in production-level deep learning deployment
- Expertise in PyTorch/TensorFlow with 100M+ parameter model experience
- Published research in NeurIPS/ICML/AAAI conferences
- Proficiency in quantum computing frameworks (Qiskit/Cirq)
- Strong background in federated learning and differential privacy
- Portfolio demonstrating 3+ industry-shaping AI projects