Job Description
Shape the future at QuantumLeap Labs as we pioneer breakthrough AI systems for 2026. Join our elite research team developing next-generation neural networks and quantum-optimized algorithms. We offer unparalleled resources, a collaborative culture with Nobel laureates, and the opportunity to publish groundbreaking research in Nature and Science. Our state-of-the-art facility includes dedicated quantum computing labs and petabyte-scale datasets.
Responsibilities
- Design and implement cutting-edge machine learning models for autonomous systems
- Lead research on quantum-accelerated neural networks and hybrid AI architectures
- Publish 3-4 peer-reviewed papers annually in top-tier AI conferences
- Collaborate with hardware engineers to optimize AI for quantum processors
- Mentor PhD researchers and cross-functional product teams
- Secure $2M+ in annual research grants from NSF and DARPA
- Develop ethical frameworks for advanced autonomous decision-making systems
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years research experience
- Published record in NeurIPS, ICML, or equivalent tier-1 conferences
- Expertise in TensorFlow/PyTorch and quantum programming frameworks
- Proven ability to secure federal research grants
- Strong background in reinforcement learning and generative models
- Experience with large-scale distributed computing (Kubernetes, Spark)
- Deep understanding of AI ethics and alignment challenges