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AI Research Scientist (2026 Vision)

Nexus Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and ethical AI frameworks. Our multidisciplinary team operates at the intersection of neuroscience, computational theory, and real-world application to create systems that redefine human-machine collaboration. Enjoy unparalleled resources, a culture of intellectual curiosity, and the opportunity to directly influence the next generation of AI paradigms.

Responsibilities

  • Lead R&D initiatives in quantum-enhanced neural networks and explainable AI systems
  • Develop novel algorithms for autonomous decision-making frameworks with 2026 deployment targets
  • Collaborate with neuroscientists to create brain-inspired AI architectures
  • Publish groundbreaking research in top-tier AI conferences and journals
  • Mentor cross-functional teams in implementing ethical AI governance protocols
  • Drive patent development for proprietary AI methodologies
  • Architect scalable ML pipelines for edge-to-cloud AI ecosystems

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Expertise in transformer architectures, reinforcement learning, and quantum computing principles
  • Proven track record of publishing at NeurIPS/ICML/ICLR with 15+ citations
  • Mastery of PyTorch/TensorFlow with distributed training optimization
  • Deep understanding of AI ethics frameworks and bias mitigation techniques
  • Experience with neuromorphic hardware and edge AI deployment
  • Strong background in computational neuroscience and cognitive modeling
  • Demonstrated ability to translate theoretical research into production systems

Required Skills

Quantum Computing Machine Learning Neural Networks PyTorch TensorFlow AI Ethics Reinforcement Learning Distributed Systems Computational Neuroscience

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