Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect transformative systems that will redefine industries. In this pivotal role, you'll collaborate with world-class researchers to develop cutting-edge machine learning models and deploy scalable AI infrastructure. Our Austin headquarters offers an unparalleled environment where your expertise will directly shape the future of autonomous systems, predictive analytics, and quantum-optimized algorithms.
Responsibilities
- Design and implement production-ready ML pipelines for next-gen autonomous systems
- Lead research in quantum-optimized neural networks and federated learning
- Architect scalable AI infrastructure supporting real-time data processing at petabyte scale
- Mentor junior engineers and establish best practices for MLOps excellence
- Collaborate with product teams to translate AI capabilities into market-leading solutions
- Drive innovation in explainable AI (XAI) and ethical AI frameworks
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Proven track record deploying ML models in cloud environments (AWS/GCP/Azure)
- Strong background in NLP, computer vision, or reinforcement learning
- Experience with quantum computing libraries (Qiskit, Cirq) or quantum-inspired algorithms
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Proficiency in Python, Kubernetes, and containerization technologies