Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum-adjacent machine learning, neuromorphic computing, and ethical AI frameworks. Our multidisciplinary teams collaborate with MIT and Stanford researchers to develop scalable solutions for climate modeling, personalized medicine, and autonomous systems. Enjoy cutting-edge resources including quantum computing access and a $20M annual research budget.
What You'll Achieve: Lead 3+ high-impact research initiatives, publish in Nature/Science, and mentor PhD candidates while shaping AI policy for 2026.
Responsibilities
- Design and implement novel neural architectures for edge-quantum hybrid systems
- Develop ethical AI governance frameworks for autonomous decision-making systems
- Lead cross-functional teams in building climate prediction models with 95%+ accuracy
- Secure $5M+ in research grants through DARPA/NSF proposals
- Prototype generative AI systems for personalized drug discovery workflows
- Collaborate with neuroscientists to develop brain-computer interface protocols
- Publish 2+ peer-reviewed papers annually in top-tier journals
Qualifications
- PhD in Computer Science, AI, or Quantum Physics with 5+ years industry experience
- Expertise in transformer architectures, quantum machine learning, and neuromorphic computing
- Proven track record of securing federal research grants (DARPA/NSF preferred)
- Published work in Nature/Science or equivalent tier-1 conferences
- Proficiency in PyTorch, TensorFlow Quantum, and Cirq frameworks
- Strong background in ethical AI development and bias mitigation
- Experience leading multidisciplinary teams across academia and industry