Job Description
Shape the future at QuantumLeap Labs, where we're pioneering AI solutions for 2026 and beyond. Join our elite research team to develop transformative machine learning systems that will redefine industries. This is your opportunity to work on bleeding-edge projects in quantum computing integration, neural architecture optimization, and ethical AI frameworks—all while enjoying world-class resources and collaborative innovation in the heart of San Francisco's tech ecosystem.
Responsibilities
- Design and implement novel neural network architectures for quantum-accelerated computing
- Lead cross-functional research initiatives to solve complex AI optimization challenges
- Develop ethical AI frameworks ensuring responsible deployment by 2026
- Collaborate with hardware teams to optimize AI-quantum hybrid systems
- Publish breakthrough research in top-tier AI conferences and journals
- Mentor junior researchers and foster innovation through technical workshops
- Drive industry partnerships to validate real-world applications of research
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Computing with 3+ years industry experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum programming
- Proven track record of publishing in NeurIPS, ICML, or equivalent venues
- Strong background in distributed computing and high-performance optimization
- Experience with large-scale model training (GPT-3+ scale or equivalent)
- Proficiency in Python, C++, and quantum assembly languages
- Demonstrated ability to translate research into production-ready systems