Job Description
Join Nexus Innovations' elite 2026 Research Division at the forefront of artificial intelligence evolution. We're pioneering next-gen AI systems that will redefine human-machine interaction by 2026. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum-enhanced machine learning, neural-symbolic integration, and ethical AI frameworks. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab, where your innovations could impact global healthcare, climate modeling, and autonomous systems.
We offer unparalleled resources: $50M annual research budget, access to quantum computing clusters, and patent equity programs. Our 2026 Roadmap includes developing AGI prototypes for medical diagnostics and sustainable energy optimization. This isn't just a role—it's your chance to shape humanity's technological horizon.
Responsibilities
- Design and implement novel AI architectures for 2026-era applications
- Lead quantum-neural network integration projects with 100+ qubit systems
- Develop ethical AI governance frameworks for autonomous systems
- Publish breakthrough research in Nature/Science journals
- Mentor PhD researchers in cross-disciplinary AI labs
- Collaborate with UN agencies on AI-for-Sustainable-Development initiatives
- Secure $10M+ in government/private research grants annually
Qualifications
- PhD in Computer Science, AI, or Quantum Computing (2018-2023)
- Published 15+ papers in top-tier AI/ML conferences (NeurIPS, ICML)
- Expertise in quantum machine learning frameworks (Cirq, Qiskit)
- Proven track record of scaling AI models to 10M+ parameter systems
- Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
- Strong background in AI ethics and regulatory frameworks (EU AI Act, NIST RMF)
- Fluency in Python, TensorFlow, and PyTorch with 5+ years implementation
- Previous startup or Big Tech AI research leadership experience