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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus AI Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that redefine human-machine interaction. Our multidisciplinary teams work on breakthrough projects in quantum computing, neural interfaces, and autonomous systems. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop scalable solutions that impact billions. We offer competitive equity packages, flexible remote work options, and access to cutting-edge infrastructure including our 2026 Research Lab in downtown San Francisco.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Publish breakthrough findings in top-tier journals and industry conferences
  • Collaborate with hardware teams to optimize AI-quantum hybrid systems
  • Develop ethical frameworks for next-generation autonomous decision-making
  • Mentor junior researchers and cross-functional innovation teams
  • Secure research grants and partnerships with global tech consortiums

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven expertise in transformer architectures and generative AI systems
  • Published research in Nature/Science or equivalent tier journals
  • Strong background in quantum computing principles or neuromorphic engineering
  • Experience with large-scale distributed training frameworks (PyTorch, TensorFlow)
  • Demonstrated ability to translate research into commercial products
  • Deep understanding of AI ethics and responsible AI development practices
  • Exceptional problem-solving skills for complex interdisciplinary challenges

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Neural Networks Research Python TensorFlow PyTorch Ethics

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