Job Description
Join QuantumLeap Dynamics as a Senior AI/ML Engineer to architect the next generation of intelligent systems for 2026 and beyond. We're pioneering breakthroughs in autonomous AI, quantum-optimized machine learning, and neural-network-on-chip integration. This role offers unparalleled opportunity to shape the future of human-AI collaboration in our state-of-the-art innovation lab.
What you'll achieve: Design production-ready ML pipelines, lead cross-functional quantum-AI research initiatives, and mentor a team of brilliant engineers solving humanity's grand challenges. Our culture blends Silicon Valley agility with academic rigor, offering flexible work arrangements, cutting-edge resources, and equity in a rapidly scaling unicorn.
Responsibilities
- Architect scalable ML systems using quantum-accelerated frameworks (PyTorch, TensorFlow, Qiskit)
- Lead development of autonomous AI agents for real-world decision-making
- Pioneer neural-network-on-chip (NoC) integration for edge computing
- Drive ethical AI governance frameworks for 2026 compliance standards
- Mentor junior engineers in advanced ML paradigms (diffusion models, transformer variants)
- Publish research in top-tier AI journals/conferences (NeurIPS, ICML)
- Collaborate with quantum computing teams for hybrid algorithm development
Qualifications
- MS/PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Expertise in Python/C++ with production deployment of ML systems (>10M users)
- Published research in quantum machine learning or neural architecture search
- Proven experience with distributed ML frameworks (Ray, Horovod)
- Deep understanding of quantum computing principles (QAOA, VQE)
- Strong background in ethical AI bias mitigation and explainability techniques
- Portfolio showcasing 3+ production AI systems with measurable impact
- Experience with MLOps pipelines (MLflow, Kubeflow) and cloud-native deployment