Job Description
Join QuantumLeap Systems at the forefront of technological innovation as we redefine 2026's digital landscape. We're seeking a visionary Senior AI/ML Engineer to architect next-generation intelligence solutions that will shape tomorrow's industries. In this pivotal role, you'll collaborate with elite researchers to develop autonomous systems, predictive models, and neural networks that push the boundaries of machine cognition.
Our San Francisco hub offers an unparalleled environment for growth, with access to cutting-edge hardware, world-class mentors, and a culture where your breakthrough ideas become industry standards. We empower our engineers with flexible work arrangements, comprehensive wellness programs, and equity in our rapidly expanding future-tech ecosystem.
Responsibilities
- Architect and deploy scalable ML pipelines for real-time data processing and autonomous decision systems
- Lead development of generative AI models capable of creating novel solutions for complex industry challenges
- Collaborate with quantum computing teams to hybridize classical and quantum ML algorithms
- Optimize neural networks for edge deployment in IoT environments with minimal latency
- Design federated learning systems enabling privacy-preserving collaborative model training
- Research and implement explainable AI frameworks for high-stakes domains
- Mentor junior engineers while establishing best practices for MLOps infrastructure
Qualifications
- PhD or Master's in Computer Science/AI with 5+ years of production ML experience
- Expertise in transformer architectures, diffusion models, and reinforcement learning
- Proficiency in PyTorch/TensorFlow with distributed training optimization
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Experience deploying models at scale using Kubernetes and cloud-native services
- Strong background in ethical AI frameworks and bias mitigation techniques
- Portfolio demonstrating successful deployment of systems with 10M+ user impact