Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum computing and neural networks while collaborating with Nobel laureates. Our state-of-the-art facility offers unparalleled resources for translating theoretical research into real-world applications that impact billions. We provide competitive equity packages, flexible work arrangements, and dedicated innovation time for your personal projects.
Responsibilities
- Design and implement advanced neural network architectures for quantum-enhanced machine learning
- Lead cross-functional research initiatives in generative AI and ethical AI frameworks
- Develop patentable solutions for autonomous systems and human-computer symbiosis
- Collaborate with hardware teams to optimize AI models for next-gen quantum processors
- Publish breakthrough research in top-tier AI conferences and journals
- Mentor junior researchers and drive open-source contributions to the AI community
Qualifications
- PhD in Computer Science, Mathematics, or Physics with 3+ years of AI research experience
- Expertise in quantum machine learning algorithms and tensor networks
- Proficiency in PyTorch/TensorFlow and low-level quantum computing frameworks
- Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
- Deep understanding of transformer architectures and diffusion models
- Strong background in computational complexity theory and algorithmic optimization
- Experience with large-scale distributed computing (Kubernetes, Spark)