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AI Research Scientist (2026)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026. We're seeking visionary AI Research Scientists to architect next-generation neural networks and quantum-computing hybrid models that will redefine human-machine collaboration. Our multidisciplinary lab combines neuroscience, computational linguistics, and distributed computing to create sentient-like AI assistants.

As a key member of our Future Intelligence Division, you'll collaborate with Nobel laureates and industry pioneers to develop ethical AI frameworks that prioritize human-centric design. This role offers unparalleled resources—including our $500M R&D fund and access to quantum computing clusters—to accelerate your research from theoretical concepts to real-world applications.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era AI systems
  • Lead cross-functional teams in developing quantum-enhanced neural networks
  • Publish peer-reviewed research in top-tier AI/ML conferences
  • Establish ethical guidelines for sentient AI development
  • Collaborate with neuroscientists to reverse-engineer human cognition
  • Prototype real-time AI-human interaction systems
  • Secure federal grants for advanced AI research initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or Computational Neuroscience
  • 5+ years of experience in advanced neural network development
  • Published research in NeurIPS, ICML, or Nature Machine Intelligence
  • Expertise in quantum machine learning frameworks
  • Proficiency in PyTorch/TensorFlow and C++
  • Demonstrated success in securing DARPA or NSF grants
  • Strong background in AI ethics and alignment research
  • Experience with distributed computing clusters (AWS/GCP)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Computational Neuroscience PyTorch TensorFlow C++ Research Ethics Distributed Computing

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