Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution as we pioneer next-generation AI systems for autonomous infrastructure. Our interdisciplinary team develops adaptive neural networks that optimize urban energy grids and predictive climate models. This role offers unparalleled opportunity to shape the future of human-AI collaboration in a mission-driven environment.
Responsibilities
- Design and implement cutting-edge ML architectures for real-time environmental forecasting systems
- Lead development of ethical AI frameworks for autonomous infrastructure management
- Collaborate with quantum computing specialists to hybridize classical-quantum ML pipelines
- Optimize neural networks for edge deployment in IoT ecosystems
- Conduct research on explainable AI techniques for high-stakes decision-making
- Mentor junior engineers in emerging ML paradigms
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed ML frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Proficiency in C++ for high-performance computing optimization
- Experience with MLOps pipelines and cloud-native deployments
- Deep understanding of reinforcement learning and generative models
- Strong background in ethics and governance of autonomous systems