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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we shape the AI landscape of 2026. We're seeking visionary researchers to pioneer breakthroughs in generative AI, quantum computing, and human-machine interfaces. This role offers unparalleled access to cutting-edge resources and the opportunity to define the next decade of intelligent systems.

Our dynamic team operates at the intersection of neuroscience, computer science, and ethics. You'll collaborate with Nobel laureates, industry disruptors, and government partners to solve humanity's most complex challenges. We provide competitive compensation, flexible work arrangements, and dedicated R&D budgets for groundbreaking projects.

Responsibilities

  • Lead research initiatives in next-generation AI architectures for 2026+ applications
  • Develop novel algorithms in quantum machine learning and neural-symbolic integration
  • Design ethical frameworks for autonomous systems and human-AI collaboration
  • Publish peer-reviewed research in top-tier journals and conferences
  • Translate theoretical innovations into scalable prototypes and patents
  • Mentor cross-functional teams of engineers and domain experts
  • Secure federal and private research grants for advanced AI projects

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Published work in NeurIPS, ICML, or equivalent tier-1 venues
  • Expertise in transformer architectures, reinforcement learning, or quantum computing
  • Proficiency in Python, PyTorch, and high-performance computing frameworks
  • Demonstrated success in securing research funding ($500K+)
  • Strong background in AI ethics and safety protocols
  • Experience leading multi-disciplinary research teams

Required Skills

Machine Learning Quantum Computing Neural Networks Research Python PyTorch Ethics AI Safety Reinforcement Learning Generative AI

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