Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an innovative AI Research Scientist to develop groundbreaking neural architectures and quantum-enhanced algorithms that will redefine human-computer interaction. In this role, you'll collaborate with a multidisciplinary team of futurists, engineers, and ethicists to build scalable AI systems that solve humanity's most pressing challenges.
Our San Francisco headquarters offers state-of-the-art facilities, unlimited learning stipends, and a culture that celebrates intellectual curiosity. You'll work on projects ranging from autonomous swarm intelligence to predictive climate modeling, with direct access to our quantum computing infrastructure and petabyte-scale datasets.
Responsibilities
- Design and implement novel deep learning frameworks for temporal prediction and generative modeling
- Lead research initiatives at the intersection of quantum computing and classical AI
- Develop ethical AI governance protocols for autonomous decision systems
- Collaborate with product teams to translate research into production-ready solutions
- Author peer-reviewed publications and present findings at premier conferences
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Computer Science, Mathematics, or related field (or equivalent research experience)
- 3+ years of applied research in machine learning or quantum computing
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Published work in NeurIPS/ICML/ICLR or equivalent top-tier venues
- Strong background in computational complexity theory or quantum information
- Proficiency in high-performance computing environments (HPC, GPU clusters)
- Demonstrated ability to translate research into practical applications