Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution. We're pioneering breakthroughs in autonomous systems, quantum computing, and neural networks that will redefine industries by 2026. As an AI/ML Engineer, you'll architect intelligent solutions that transform tomorrow's challenges into today's innovations. Collaborate with Nobel laureates and disruptors in our Austin R&D hub, where your code shapes the future. We offer competitive equity, unlimited learning stipends, and flexible work arrangements for top-tier talent.
Responsibilities
- Design and implement scalable ML pipelines for next-gen autonomous systems
- Research and prototype novel neural network architectures for quantum-classical hybrid computing
- Develop ethical AI frameworks ensuring responsible deployment of autonomous technologies
- Collaborate with cross-functional teams to integrate AI solutions into industrial IoT ecosystems
- Lead innovation sprints on predictive analytics for climate modeling and sustainability
- Contribute to open-source initiatives advancing AGI safety research
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years of applied ML experience
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Proficiency in deploying ML models on edge devices and distributed systems
- Strong background in reinforcement learning and generative adversarial networks
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
- Demonstrated impact in building production AI systems with measurable business outcomes