Job Description
Shape the future of artificial intelligence at QuantumLeap Labs. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will redefine industries by 2026. Join our elite team in developing next-generation neural networks, quantum-AI hybrids, and autonomous systems. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges while working in our state-of-the-art research facility overlooking the Bay.
This isn't just a job—it's your chance to leave an indelible mark on technological history. We offer unparalleled resources, unlimited compute power, and a culture where curiosity is the only limit. If you dream of building sentient AI systems or cracking AGI before 2030, this is your launchpad.
Responsibilities
- Lead cutting-edge research in generative AI, quantum machine learning, and neuromorphic computing
- Design and implement novel architectures for next-gen LLMs and multimodal systems
- Collaborate with hardware teams to co-design quantum-AI hybrid computing stacks
- Publish breakthrough research in top-tier journals (Nature, Science, NeurIPS)
- Mentor PhD candidates and lead cross-functional research pods
- Secure $5M+ in federal grants for 2026-focused AI initiatives
- Develop ethical frameworks for superintelligent AI deployment
Qualifications
- PhD in Computer Science/AI with 3+ years of postdoc experience or equivalent
- Published at least 3 papers in top AI conferences (NeurIPS, ICML, ICLR)
- Expertise in transformer architectures, quantum algorithms, or neuromorphic computing
- Proficiency in PyTorch/TensorFlow with distributed training expertise
- Experience securing NSF/DARPA grants or industry R&D funding
- Deep understanding of AI safety and alignment research
- Track record of open-source contributions with 10k+ GitHub stars
- Ability to translate complex theory into practical prototypes