Job Description
Shape the future of artificial intelligence at QuantumLeap Labs! We're pioneering breakthrough technologies that will redefine industries by 2026. As an AI Research Scientist, you'll lead cutting-edge projects in quantum machine learning, neural networks, and autonomous systems. Join our multidisciplinary team of visionaries in our state-of-the-art San Francisco lab, where innovation meets impact. This role offers unparalleled opportunities to publish research, patent discoveries, and collaborate with Fortune 500 partners transforming healthcare, climate modeling, and space exploration.
Responsibilities
- Design and implement next-generation AI algorithms for quantum computing applications
- Lead research initiatives in unsupervised learning and generative adversarial networks
- Develop ethical AI frameworks for autonomous decision-making systems
- Collaborate with hardware engineers to optimize AI for quantum processors
- Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at global conferences
- Mentor junior researchers and drive innovation through quarterly hackathons
- Secure federal grants and industry partnerships for 2026 technology roadmaps
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Physics (or equivalent research experience)
- 5+ years in AI research with proven publications at NeurIPS/ICML/ICLR
- Expertise in TensorFlow, PyTorch, and quantum programming frameworks (Qiskit, Cirq)
- Strong background in reinforcement learning and federated learning
- Experience with large-scale distributed computing (Spark, Kubernetes)
- Track record of translating research into production AI systems
- Passion for solving humanity's grand challenges through AI by 2026