Job Description
Join QuantumLeap Dynamics as we pioneer the next frontier of artificial intelligence. We're seeking a visionary AI Research Scientist to architect breakthrough solutions for our 2026 roadmap, focusing on generative AI, quantum computing integration, and ethical AI frameworks. This role offers unparalleled opportunities to shape the future of technology while collaborating with Nobel laureates and Turing Award winners in our state-of-the-art Silicon Valley labs.
Our team operates at the intersection of theoretical innovation and practical application, developing AI systems that will redefine industries from healthcare to climate modeling. You'll lead research initiatives with $50M+ in annual R&D funding, access to quantum computing resources, and partnerships with MIT and Stanford's AI research centers. We offer competitive equity packages, unlimited PTO, and a culture where your ideas can become global innovations.
Responsibilities
- Design and implement novel AI architectures for quantum-enhanced machine learning systems
- Lead cross-functional research initiatives in generative AI and neural-symbolic integration
- Develop ethical AI frameworks ensuring alignment with 2026 regulatory standards
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Mentor PhD researchers and collaborate with academic institutions
- Translate theoretical models into scalable production systems with 99.99% reliability
- Drive innovation in AI safety and explainability for mission-critical applications
Qualifications
- PhD in Computer Science, Mathematics, or Physics with focus on AI/ML (or equivalent research impact)
- 5+ years of experience in advanced AI research with 20+ peer-reviewed publications
- Expertise in quantum machine learning, transformer architectures, and diffusion models
- Proficiency in Python, PyTorch/TensorFlow, and quantum programming frameworks
- Demonstrated ability to lead research teams securing $10M+ in funding
- Strong background in AI ethics, bias mitigation, and regulatory compliance
- Experience with large-scale distributed computing and MLOps pipelines