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 solutions in autonomous reasoning, quantum neural networks, and ethical AI frameworks. Collaborate with Nobel laureates and MIT alumni in our state-of-the-art facility in the heart of San Francisco's innovation district.
What you'll achieve: Develop patent-pending algorithms for 2026's smart infrastructure, publish at NeurIPS/ICML, and directly shape the future of human-AI symbiosis. We offer competitive equity, flexible hybrid work, and unparalleled R&D resources.
Responsibilities
- Lead research in generative AI models for 2026's predictive analytics landscape
- Design ethical AI frameworks compliant with emerging 2026 global regulations
- Collaborate with quantum computing teams to hybridize classical and quantum neural networks
- Publish 3+ peer-reviewed papers annually in top-tier AI conferences
- Mentor junior researchers through our Future Innovators program
- Prototype AI solutions for climate modeling and sustainable infrastructure
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent research experience)
- 5+ years in applied ML research with 2+ publications at NeurIPS/ICML/ICLR
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency with PyTorch/TensorFlow and high-performance computing clusters
- Demonstrated experience with ethical AI bias mitigation techniques
- Strong background in quantum computing fundamentals
- Published work in multi-agent systems or swarm intelligence