Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to develop cutting-edge machine learning models that will shape tomorrow's digital landscape. In this role, you'll collaborate with world-class researchers to push the boundaries of artificial intelligence while contributing to breakthrough projects in autonomous systems, quantum computing integration, and next-gen human-AI interfaces.
We offer a dynamic environment where your ideas directly impact global industries. Our competitive compensation package includes equity, flexible work arrangements, and access to state-of-the-art research facilities in the heart of San Francisco's tech corridor.
Responsibilities
- Design and implement advanced AI algorithms for predictive analytics and autonomous decision-making systems
- Lead research initiatives focused on quantum-AI hybrid computing models
- Develop scalable ML pipelines processing petabyte-scale datasets
- Collaborate with engineering teams to prototype research concepts into production-ready solutions
- Author peer-reviewed publications for top-tier conferences (NeurIPS, ICML, CVPR)
- Guide cross-functional projects bridging AI ethics, explainable AI, and real-world deployment
- Identify emerging technological trends and translate research opportunities into actionable projects
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
- Published research in AI/ML with demonstrated impact on practical applications
- Strong proficiency in Python, C++, and high-performance computing environments
- Experience with quantum computing APIs or hybrid quantum-classical systems
- Proven ability to translate complex research concepts into technical documentation
- Track record of leading cross-disciplinary projects with measurable outcomes