Job Description
Shape the future at QuantumLeap Systems, where we're pioneering breakthroughs in quantum AI for 2026 and beyond. Join our elite research team to develop next-generation machine learning models that will redefine industries. This role offers unparalleled opportunities to work with cutting-edge technologies in a collaborative, innovation-driven environment. You'll contribute to projects that directly impact humanity's technological trajectory while receiving competitive compensation and comprehensive benefits.
Responsibilities
- Design and implement advanced ML algorithms for quantum computing systems
- Lead research initiatives in neural network optimization for quantum processors
- Collaborate with cross-functional teams to integrate AI solutions into quantum hardware
- Develop proprietary frameworks for quantum-classical hybrid model training
- Publish research in top-tier AI/quantum computing journals and conferences
- Mentor junior researchers and foster an innovative research culture
Qualifications
- PhD in Computer Science, AI, or Quantum Physics (or equivalent experience)
- 3+ years in ML research with published papers in top-tier conferences
- Expertise in TensorFlow/PyTorch and quantum computing frameworks (Qiskit, Cirq)
- Strong background in quantum algorithms and quantum machine learning
- Experience with distributed computing and high-performance computing environments
- Proven ability to translate complex theoretical concepts into practical implementations
- Excellent communication skills with ability to present technical concepts to diverse audiences