Job Description
Shape the future as QuantumLeap Dynamics pioneers AI-driven solutions for 2026. We're seeking an innovative AI/ML Engineer to lead our next-generation initiatives in predictive analytics, autonomous systems, and quantum-enhanced machine learning. Join our elite team at the intersection of cutting-edge research and practical deployment.
Work in our state-of-the-art Austin hub where you'll collaborate with Nobel laureates and industry disruptors. Enjoy competitive equity, unlimited learning stipends, and the flexibility to define your impact. This isn't just a job—it's your chance to build the technologies that will define the next decade.
Responsibilities
- Architect and implement scalable ML pipelines for 2026 predictive models
- Lead quantum-enhanced AI research initiatives with 20+ hour compute access
- Develop autonomous systems with 99.99% reliability benchmarks
- Mentor cross-functional teams in AI ethics and responsible deployment
- Drive patent applications for breakthrough neural network architectures
- Optimize edge computing solutions for real-time 5G/6G applications
- Present findings at global AI summits and publish in Nature/Science journals
Qualifications
- PhD in Computer Science/AI or equivalent with 5+ years industry experience
- Expertise in PyTorch/TensorFlow with published research in top-tier conferences
- Proven track record deploying production ML systems at billion-user scale
- Deep understanding of quantum computing principles and NISQ algorithms
- Proficiency in distributed computing frameworks (Kubernetes, Spark)
- Strong background in federated learning and differential privacy
- Certified in AWS/Azure/GCP ML engineering with 3+ years cloud experience