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AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect the next generation of intelligent systems that will redefine industries. You'll collaborate with Nobel laureates and disruptors in our state-of-the-art quantum-entangled research facility, where your breakthroughs will shape human-machine collaboration for the next decade.

Why Nexus Future Labs? Our incubation program has launched 12 AI unicorns. We offer unlimited R&D budgets, equity grants, and sabbaticals to explore emerging paradigms. Your work directly impacts our 2026 roadmap for autonomous ecosystems, synthetic consciousness, and climate AI.

Responsibilities

  • Lead cross-disciplinary research in generative AI, quantum machine learning, and neuromorphic computing
  • Architect scalable AI frameworks for 2026-era autonomous systems and predictive climate models
  • Publish breakthrough research in top-tier journals (Nature, Science, NeurIPS)
  • Mentor post-doc fellows in our 2026 Innovation Fellowship program
  • Collaborate with quantum computing teams to hybridize classical and quantum AI approaches
  • Secure $5M+ in federal grants for 2026-relevant AI initiatives
  • Present findings at Davos, TED, and World Economic Forums

Qualifications

  • PhD in Computer Science/AI with 5+ years in published research (h-index >20)
  • Expertise in transformer architectures, diffusion models, and federated learning
  • Proficiency in PyTorch/TensorFlow with 100M+ parameter model deployment
  • Published work on ethical AI alignment or AGI safety frameworks
  • Experience with neuromorphic hardware (Loihi, TrueNorth) or quantum simulators
  • Demonstrated ability to secure DARPA/NSF grants
  • Fluency in at least one quantum programming language (Q#, Qiskit)

Required Skills

Machine Learning Deep Learning Quantum Computing Neuromorphic Systems Generative AI PyTorch TensorFlow Federated Learning Quantum Programming AGI Safety

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