Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for the 2026 horizon. We're seeking visionary AI Research Scientists to architect the next generation of autonomous intelligence solutions. Our interdisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics to redefine human-machine collaboration. This role offers unparalleled resources to explore uncharted territories in AI ethics, generative modeling, and real-time decision frameworks.
Position includes competitive equity, flexible hybrid work, and dedicated R&D budget for experimental projects. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art downtown San Francisco facility.
Responsibilities
- Design and implement novel AI algorithms for predictive analytics and autonomous decision-making systems
- Lead cross-functional R&D initiatives focused on 2026-era AI capabilities including quantum-aided machine learning
- Develop ethical frameworks for next-gen AI systems with emphasis on bias mitigation and transparency
- Author peer-reviewed research publications and present findings at global AI summits
- Mentor junior researchers and build collaborative partnerships with academic institutions
- Translate theoretical models into scalable production-grade AI architectures
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Strong background in quantum machine learning and neuromorphic computing
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to lead complex multi-year research projects
- Experience with AI ethics frameworks and responsible AI development practices