Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation intelligent systems that will redefine industries. In this role, you'll collaborate with Nobel laureates and Silicon Valley visionaries to develop breakthrough algorithms in quantum computing, neural-symbolic integration, and autonomous decision-making. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation, including a 100-qubit quantum processor and petascale GPU clusters.
We offer a competitive compensation package with equity, flexible remote options, and dedicated R&D budgets. Ideal candidates will thrive in an environment where 20% of time is allocated for moonshot projects with potential global impact.
Responsibilities
- Design and implement novel AI architectures for 2026-era applications
- Lead cross-functional teams in developing autonomous decision-making systems
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with quantum computing teams on hybrid AI-quantum algorithms
- Translate theoretical models into production-ready prototypes
- Advise C-suite on emerging AI trends and strategic implementations
- Secure patents for proprietary AI methodologies
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years research experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and neural architectures
- Published record in NeurIPS, ICML, or equivalent tier conferences
- Proficiency in quantum computing principles and quantum machine learning
- Experience with large-scale distributed computing systems
- Strong background in reinforcement learning and multi-agent systems
- Track record of translating research into commercial applications