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AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological frontier! We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing integration, and human-AI symbiosis. Our multidisciplinary team operates at the intersection of neuroscience, machine learning, and next-gen robotics to redefine human potential.

As a key architect of our 2026 roadmap, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art biophilic campus overlooking the Bay. We offer unparalleled resources, including quantum computing clusters and neural interface labs, to accelerate your research from theory to reality.

Responsibilities

  • Lead R&D initiatives in generative AI and cognitive architectures for 2026-era applications
  • Develop novel neural network paradigms enabling human-level reasoning and creativity
  • Architect ethical frameworks for autonomous decision-making systems
  • Collaborate with quantum computing teams to hybridize classical and quantum AI models
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $2M+ in annual research grants through innovative proposal development
  • Mentor PhD fellows in next-generation AI methodologies

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field with 5+ years industry experience
  • Published record in NeurIPS/ICML/AAAI with 50+ citations per paper
  • Expertise in transformer architectures, reinforcement learning, and neuromorphic computing
  • Proficiency in PyTorch/TensorFlow with distributed training expertise
  • Strong background in ethical AI development and bias mitigation
  • Experience securing DARPA/NIH grants for cutting-edge research
  • Demonstrated ability to lead cross-disciplinary technical teams

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Reinforcement Learning PyTorch Research Ethics Grant Writing

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