Job Description
Join QuantumLeap Dynamics as a pioneering AI/ML Engineer to architect breakthrough systems for 2026 and beyond. We're revolutionizing human-machine interaction through quantum-entangled neural networks and predictive autonomy. In this role, you'll design scalable AI frameworks that solve complex global challenges while collaborating with Nobel Prize-winning researchers in our state-of-the-art Bay Area lab.
Responsibilities
- Architect quantum-resistant ML pipelines for real-time anomaly detection across distributed networks
- Develop generative AI models that simulate future market conditions with 99.7% accuracy
- Lead cross-functional teams to deploy federated learning systems across 15+ international data centers
- Optimize transformer architectures for edge computing in autonomous environments
- Create ethical AI governance frameworks compliant with 2026 global regulatory standards
- Pioneer neuromorphic computing applications for next-gen prosthetics
Qualifications
- PhD in Machine Learning, Quantum Computing, or equivalent with 5+ years industry experience
- Expertise in PyTorch, TensorFlow Quantum, and custom GPU-accelerated frameworks
- Published research in Nature/Science on quantum-ML hybrid systems (2019-2023)
- Proficiency in deploying models at petabyte-scale with sub-50ms latency
- Certified in ISO 38507:2025 for autonomous system governance
- Fluency in Rust and CUDA for high-performance computing
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)