Job Description
Join QuantumLeap Technologies, a pioneer in next-generation AI solutions, as we redefine the boundaries of machine intelligence. We're seeking visionary AI Research Scientists to architect the future of autonomous systems and quantum-enhanced algorithms. This is your chance to work at the intersection of theoretical breakthroughs and real-world applications in our state-of-the-art San Francisco lab.
Our team operates at the bleeding edge of technology, developing proprietary frameworks that will power the next decade of innovation. We offer unparalleled resources, collaborative research culture, and direct impact on projects shaping 2026's technological landscape.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex problem domains
- Lead research initiatives in neuromorphic computing and adaptive neural networks
- Develop scalable AI architectures for edge computing environments
- Collaborate with cross-functional teams to translate research into production-ready solutions
- Author peer-reviewed publications and contribute to open-source frameworks
- Mentor junior researchers and foster innovation through technical workshops
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (or equivalent research experience)
- Expertise in quantum machine learning and tensor network algorithms
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Publication record at top-tier conferences (NeurIPS, ICML, etc.)
- Experience with large-scale distributed computing systems
- Strong background in theoretical computer science and complexity theory
- Demonstrated ability to lead multi-disciplinary research projects
- Knowledge of ethical AI frameworks and responsible innovation practices