Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're pioneering breakthroughs in quantum-computing-integrated AI systems that will redefine industries. As our AI Research Scientist, you'll architect next-generation neural networks while collaborating with Nobel laureates and industry disruptors. Our San Francisco campus features state-of-the-art labs with 24/7 access to quantum annealers and petabyte-scale datasets. Enjoy unparalleled benefits including equity in our pre-IPO unicorn, unlimited learning stipends, and flexible remote work options for 30% of your schedule. Shape the future—apply today!
Responsibilities
- Design and implement quantum-enhanced AI algorithms for 2026-era applications
- Lead cross-functional R&D teams in developing novel neural architectures
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware engineers to optimize AI-quantum system integration
- Mentor junior researchers and drive innovation through quarterly hackathons
- Secure $2M+ in annual research grants and partnerships
- Develop ethical frameworks for responsible AI deployment in 2026+ ecosystems
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (or equivalent experience)
- 5+ years in AI research with proven publication record in Nature/Science journals
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow, and PyTorch with 100K+ GitHub stars
- Demonstrated experience with large-scale distributed computing systems
- Published papers on transformer architectures or quantum-classical hybrids
- Strong background in AI ethics and regulatory compliance (GDPR/CCPA)