Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking an exceptional AI Research Scientist to architect the next generation of intelligent solutions that will transform industries and redefine human-machine collaboration. This role offers unparalleled opportunities to shape the future of artificial intelligence while working alongside Nobel laureates and Turing Award winners in our state-of-the-art research facility.
Why QuantumLeap Labs? We're not just building products; we're creating paradigms. Our 2026 initiative focuses on ethical AI, quantum-computing integration, and human-centric design. You'll receive equity, unlimited learning stipends, and the autonomy to pursue research that matters.
Responsibilities
- Lead cutting-edge research in generative AI, quantum machine learning, and neural-symbolic integration
- Develop novel architectures for next-generation AI systems targeting 2026 deployment
- Collaborate with cross-disciplinary teams to translate theoretical breakthroughs into scalable solutions
- Publish high-impact research in top-tier journals/conferences (NeurIPS, ICML, Nature)
- Drive innovation in AI ethics, safety, and explainability frameworks
- Secure external funding through NSF, DARPA, and industry partnerships
- Mentor PhD candidates and junior researchers in advanced AI methodologies
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years of research experience
- Proven track record of publishing at NeurIPS/ICML/ICLR or equivalent venues
- Expertise in transformer architectures, reinforcement learning, and quantum computing fundamentals
- Proficiency in Python, PyTorch, TensorFlow, and high-performance computing environments
- Strong background in AI ethics, bias mitigation, and responsible AI development
- Experience securing government grants (DARPA, NSF) or industry research partnerships
- Exceptional problem-solving skills with demonstrated ability to tackle open-ended challenges