Job Description
Shape the future of artificial intelligence at QuantumLeap Labs. We're pioneering next-gen AI solutions for 2026 and beyond, seeking visionary researchers to redefine human-machine collaboration. Join our elite team in San Francisco to develop breakthrough algorithms in quantum computing, neuromorphic systems, and ethical AI frameworks. You'll work in state-of-the-art labs with industry-leading resources, collaborating with Nobel laureates and Silicon Valley innovators. This role offers unparalleled opportunities to publish in top-tier journals, lead patent development, and influence global AI policy.
Responsibilities
- Design and implement cutting-edge AI algorithms for quantum machine learning and neural-symbolic systems
- Lead research initiatives in ethical AI alignment and explainable AI frameworks
- Develop scalable solutions for real-time inference in edge computing environments
- Collaborate with hardware teams to optimize AI models for next-generation processors
- Author peer-reviewed publications and present findings at top-tier conferences (NeurIPS, ICML)
- Mentor junior researchers and drive innovation in interdisciplinary projects
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry research experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing APIs
- Published record in top-tier AI conferences/journals (NeurIPS, Nature ML)
- Proficiency in Python, C++, and high-performance computing environments
- Strong background in computational neuroscience or federated learning
- Demonstrated experience with large-scale dataset management and MLOps pipelines
- Exceptional problem-solving skills and ability to translate complex concepts