Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026. We're seeking visionary AI Research Scientists to architect the next generation of autonomous solutions that will redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications.
As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates and industry disruptors to develop quantum-resistant algorithms and neuromorphic computing frameworks. We offer comprehensive benefits including equity grants, flexible hybrid work, and dedicated R&D funding for your experimental projects.
Responsibilities
- Design and implement advanced machine learning models for predictive analytics and autonomous decision-making
- Lead cross-functional research initiatives on quantum computing applications and ethical AI frameworks
- Develop scalable neural architectures optimized for edge devices and distributed computing environments
- Publish breakthrough research in top-tier journals and present findings at global tech conferences
- Mentor junior researchers and establish best practices for reproducible science
- Secure external funding through NSF and DARPA grants for frontier AI projects
- Collaborate with product teams to translate research into market-ready solutions by 2026
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 3+ years of post-graduate research
- Proven expertise in transformer architectures, reinforcement learning, and generative adversarial networks
- Published record in NeurIPS, ICML, or equivalent tier-1 ML conferences
- Strong programming skills in Python, PyTorch, and high-performance computing frameworks
- Experience with quantum computing APIs (Qiskit, Cirq) and neuromorphic hardware
- Demonstrated ability to secure research grants and manage multi-disciplinary projects
- Passion for ethical AI development and understanding of regulatory landscapes
- Portfolio of open-source contributions with 1,000+ GitHub stars