Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're pioneering AI-driven solutions that will reshape industries, and we need exceptional talent to lead this charge. As an AI/ML Engineer, you'll architect intelligent systems that learn, adapt, and innovate autonomously. Enjoy a culture of cutting-edge research, collaborative innovation, and unparalleled growth opportunities in our Austin innovation hub.
What we offer: Equity packages, flexible hybrid work, unlimited learning stipends, and state-of-the-art R&D facilities.
Responsibilities
- Design and deploy scalable ML pipelines for autonomous decision-making systems
- Develop novel neural architectures for 2026-era edge computing applications
- Lead research in federated learning and quantum-ML hybrid models
- Optimize AI systems for real-time processing in IoT environments
- Collaborate with cross-functional teams to integrate AI solutions into product roadmaps
- Contribute to open-source projects advancing 2026's AI standards
Qualifications
- PhD or MS in Computer Science/Engineering with 5+ years ML experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in quantum computing algorithms (Qiskit, Cirq)
- Track record of deploying production ML systems at scale
- Strong background in reinforcement learning and generative models
- Experience with MLOps tools (Kubeflow, MLflow)