Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we prepare for the transformative year of 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing integration, and predictive neural networks. This is your chance to shape the future while working in our state-of-the-art R&D facility in downtown San Francisco.
Our team operates at the intersection of academia and industry, collaborating with MIT and Stanford researchers to develop scalable AI solutions that will redefine human-machine interaction by 2026. You'll have unparalleled access to cutting-edge infrastructure including quantum simulators and neuromorphic computing clusters.
We offer competitive compensation, unlimited PTO, comprehensive health benefits, and a 401(k) with 6% company match. Our culture emphasizes radical innovation with flexible schedules and remote work options.
Responsibilities
- Lead research initiatives in next-generation AI architectures for 2026 deployment
- Develop novel algorithms for quantum-enhanced machine learning models
- Collaborate with cross-functional teams to prototype AI solutions for autonomous systems
- Publish peer-reviewed research in top-tier conferences (NeurIPS, ICML, etc.)
- Mentor junior researchers and PhD candidates in emerging AI paradigms
- Secure government and private funding for 2026-focused AI projects
- Translate theoretical research into scalable production-ready systems
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
- Publication record in top-tier AI conferences with 10+ peer-reviewed papers
- Strong background in reinforcement learning and neural architecture search
- Experience with distributed computing systems and high-performance computing
- Proficiency in Python, C++, and quantum programming languages (Q#, Qiskit)
- Demonstrated ability to lead complex research projects from conception to deployment