Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to architect the next generation of intelligent systems that will redefine human-machine interaction. This role offers unparalleled opportunities to pioneer breakthroughs in quantum computing, neural networks, and autonomous AI while collaborating with Nobel laureates and Turing Award winners. Our state-of-the-art facility in San Francisco's Tech Hub provides an incubator for world-changing innovations.
As part of our elite 2026 Initiative, you'll work on projects that will shape the next decade of technological advancement. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. The ideal candidate thrives at the intersection of theoretical innovation and practical application.
Responsibilities
- Design and implement novel AI algorithms for quantum machine learning applications
- Lead cross-functional teams in developing next-gen neural architectures
- Author breakthrough research papers for top-tier journals and conferences
- Collaborate with hardware teams to optimize AI-quantum hybrid systems
- Mentor junior researchers and establish new industry benchmarks
- Secure $5M+ in research grants from NSF and DARPA partnerships
- Present findings at global tech summits including Web Summit and TechCrunch Disrupt
Qualifications
- PhD in Computer Science, AI, or Quantum Physics with 3+ years post-doctoral research
- Published record in NeurIPS/ICML/AAAI with >50 citations per paper
- Expertise in TensorFlow/PyTorch and quantum computing frameworks
- Proven track record of developing production-level AI systems
- Strong background in theoretical computer science and computational complexity
- Experience securing federal research grants or corporate R&D funding
- Fluency in Python, C++, and quantum assembly languages
- Portfolio of open-source contributions with >1K GitHub stars