Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Research Scientists to architect next-generation autonomous systems. Our multidisciplinary team pioneers breakthroughs in quantum machine learning, neural architecture search, and ethical AI governance. Collaborate with Nobel laureates and disrupt industries through cutting-edge research in generative AI, federated learning, and explainable AI. Enjoy unparalleled resources, patent opportunities, and the chance to shape humanity's technological future.
Responsibilities
- Lead R&D initiatives in quantum-enhanced neural networks and generative adversarial systems
- Design scalable ML pipelines processing petabyte-scale datasets across distributed quantum computing infrastructure
- Develop novel algorithms for zero-shot learning and meta-learning in dynamic environments
- Architect ethical AI frameworks ensuring compliance with 2026 global AI governance standards
- Collaborate with product teams to commercialize breakthrough AI innovations
- Publish high-impact research in Nature/Science journals and present at NeurIPS/ICML
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 3+ years industry research experience
- Expertise in transformer architectures, reinforcement learning, and quantum machine learning
- Proficiency in PyTorch, TensorFlow, and quantum programming frameworks (Qiskit/Cirq)
- Published track record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Deep understanding of federated learning, differential privacy, and ethical AI principles
- Experience deploying ML systems at 10M+ user scale with 99.99% reliability