Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-resistant AI systems that will redefine cybersecurity, autonomous decision-making, and human-machine collaboration. As our AI Research Scientist, you'll architect the next generation of neural networks in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and Turing Award winners to solve humanity's most complex challenges.
We offer unparalleled resources, including access to our 100-qubit quantum computing cluster and a $500M innovation fund. Your work will directly shape the ethical frameworks governing AI deployment in critical infrastructure, healthcare, and climate modeling.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional research on explainable AI and bias mitigation techniques
- Develop quantum-resistant algorithms for next-gen cybersecurity protocols
- Collaborate with hardware teams to optimize AI models for neuromorphic computing
- Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML)
- Shape corporate AI ethics policies aligned with 2026 regulatory landscapes
- Mentor junior researchers in advanced ML methodologies
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent research experience)
- 5+ years in cutting-edge AI research with 2+ peer-reviewed papers at NeurIPS/ICML
- Expertise in transformer architectures, reinforcement learning, and generative models
- Proficiency in PyTorch/TensorFlow and distributed computing frameworks
- Experience with quantum computing concepts or neuromorphic hardware
- Demonstrated ability to translate theoretical research into production systems
- Strong background in AI ethics, fairness, and interpretability frameworks
- Published work in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)