Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're pioneering quantum-resistant AI systems and autonomous infrastructure solutions. As our Senior AI/ML Engineer, you'll architect next-generation models that redefine industry standards while working in our state-of-the-art R&D lab in San Francisco.
Our team operates at the intersection of theoretical innovation and real-world deployment, where your expertise will directly impact projects with global scale. We offer competitive equity packages, flexible hybrid work, and opportunities to publish groundbreaking research at premier conferences.
Responsibilities
- Design and implement production-grade ML pipelines for quantum-resistant algorithms
- Lead cross-functional teams in deploying autonomous infrastructure solutions
- Develop novel neural architectures for edge computing optimization
- Collaborate with quantum computing specialists to hybridize classical/quantum models
- Architect MLOps frameworks for real-time inference at scale
- Contribute to open-source projects advancing federated learning standards
- Mentor junior engineers through our proprietary 'FutureTech' incubation program
Qualifications
- PhD or MS in Computer Science/AI with 5+ years industry experience
- Expertise in TensorFlow/PyTorch and distributed training frameworks
- Published research in top-tier ML conferences (NeurIPS, ICML, ICLR)
- Proficiency in Python, C++, and quantum programming languages (Q#)
- Experience with Kubernetes, Kubeflow, and cloud-native deployments
- Strong background in cryptography and post-quantum algorithms
- Proven track record of shipping ML products serving >1M users