Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we build the AI infrastructure for 2026. We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries. This role offers unparalleled opportunities to work on quantum-adjacent machine learning models, autonomous systems, and next-gen neural networks in our state-of-the-art Austin facility.
You'll collaborate with Nobel laureate advisors and pioneer breakthroughs in AGI development while enjoying competitive equity, unlimited learning stipends, and a culture that celebrates intellectual curiosity. Our Austin hub features neuro-inclusive workspaces, biophilic design, and direct access to UT Austin research partnerships.
Responsibilities
- Design and implement production-scale ML pipelines for autonomous decision systems
- Develop quantum-entangled neural architectures for 2026-era computing
- Lead research in explainable AI and ethical algorithmic frameworks
- Optimize federated learning models across distributed quantum networks
- Create multimodal AI systems integrating vision, language, and sensor data
- Architect self-healing infrastructure for resilient AI deployments
- Mentor cross-functional teams in AI-first development methodologies
- Publish research in top-tier conferences on next-gen AI paradigms
Qualifications
- PhD or MS in Computer Science/AI with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed ML frameworks
- Published research in NeurIPS/ICML/ICLR or equivalent impact
- Proficiency in quantum computing principles (Qiskit/Cirq)
- Experience with MLOps platforms (Kubeflow, MLflow) at scale
- Strong background in reinforcement learning and generative models
- Fluency in C++ and Python with high-performance optimization skills
- Demonstrated success in deploying mission-critical AI systems