Job Description
Join QuantumLeap Dynamics at the forefront of technological innovation as we build the future of AI-driven solutions. We're seeking a visionary AI/ML Engineer to architect and deploy cutting-edge systems that will redefine industries by 2026. This role offers unparalleled opportunities to work on quantum-resistant algorithms, generative AI frameworks, and autonomous decisioning platforms in a collaborative, startup-scale environment with enterprise resources.
Our team operates at the intersection of neuroscience-inspired computing and edge-AI deployment, solving complex challenges in climate modeling, personalized medicine, and autonomous systems. You'll collaborate with Nobel laureates and industry pioneers while leveraging our $50M R&D fund to explore uncharted territories of machine intelligence.
Responsibilities
- Architect next-gen AI/ML pipelines for real-time data processing at petabyte scale
- Develop quantum-resistant ML algorithms for secure distributed computing
- Lead deployment of generative AI models across multi-cloud infrastructures
- Optimize neural networks for edge devices with <10ms latency requirements
- Research and implement federated learning frameworks for privacy-preserving AI
- Drive MLOps automation for CI/CD pipelines with 99.99% uptime SLA
- Mentor junior engineers in ethical AI development practices
Qualifications
- PhD in Computer Science/Machine Learning or equivalent industry experience
- 5+ years building production ML systems with TensorFlow/PyTorch
- Expertise in distributed computing frameworks (Spark, Kubernetes)
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in low-level optimization for GPU/TPU acceleration
- Experience with quantum computing APIs (Qiskit, Cirq)
- Certification in Responsible AI (Google, Microsoft, or equivalent)