Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering autonomous AI systems that redefine human-machine collaboration. As an AI/ML Engineer, you'll architect neural networks that learn, adapt, and solve problems in real-time across healthcare, logistics, and sustainability sectors. Our Austin hub offers a state-of-the-art lab where your innovations will directly impact global industries. If you thrive at the intersection of bleeding-edge research and practical application, this is your opportunity to shape tomorrow's intelligence today.
Responsibilities
- Design and deploy production-grade ML models for edge computing and cloud-native environments
- Develop reinforcement learning frameworks for autonomous decision-making systems
- Optimize neural architectures for low-latency inference in resource-constrained devices
- Create ethical AI governance protocols ensuring bias mitigation and transparency
- Collaborate with quantum computing teams to hybridize classical and quantum ML algorithms
- Lead cross-functional sprints integrating AI solutions with IoT and blockchain ecosystems
- Publish research in top-tier ML conferences and contribute to open-source frameworks
Qualifications
- PhD in Computer Science/ML or equivalent with 5+ years of industry experience
- Expertise in PyTorch/TensorFlow and distributed training paradigms
- Proven track record deploying models at scale (Kubernetes, AWS/GCP)
- Deep understanding of transformer architectures and diffusion models
- Published work in NeurIPS/ICML or equivalent top-tier venues
- Experience with MLOps pipelines (MLflow, Kubeflow)
- Strong background in causal inference and federated learning