Job Description
Join Quantum Leap Labs at the forefront of 2026's technological revolution. We're pioneering next-gen AI systems that redefine human-machine interaction. As an AI/ML Research Engineer, you'll architect breakthrough neural architectures and deploy scalable solutions across autonomous systems, quantum computing interfaces, and predictive analytics. Collaborate with Nobel laureates in our Austin R&D hub and shape the future of intelligent automation.
Responsibilities
- Design and implement novel deep learning architectures for edge computing deployment
- Lead cross-functional teams in prototyping quantum-ML hybrid models
- Optimize neural networks for real-time inference in autonomous systems
- Develop federated learning frameworks for secure multi-party data collaboration
- Translate academic research into production-grade AI solutions
- Contribute to patent portfolios for breakthrough AI methodologies
Qualifications
- PhD in Computer Science/AI or equivalent with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Published research in NeurIPS/ICML/ICLR conferences
- Proficiency in C++/Rust for high-performance AI deployment
- Experience with quantum computing APIs (Qiskit/Braket)
- Strong background in reinforcement learning and meta-learning
- Track record of shipping production AI systems at scale