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AI Research Scientist 2026

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

Job Description

Shape the future at NexusAI Labs, where innovation meets impact. We're seeking visionary AI Research Scientists to pioneer breakthroughs that will redefine 2026's technological landscape. Join our elite team in San Francisco, working at the intersection of quantum computing, neural networks, and autonomous systems. You'll develop next-generation AI frameworks that solve humanity's most complex challenges while enjoying unparalleled resources and a culture of relentless curiosity.

Our state-of-the-art facility offers flexible hybrid work arrangements, dedicated research time, and collaboration with Nobel laureates. We provide comprehensive benefits including equity, wellness stipends, and sabbatical programs to fuel your intellectual journey.

Responsibilities

  • Design and implement cutting-edge AI architectures for 2026-era applications
  • Lead cross-functional R&D projects in quantum machine learning and neuromorphic computing
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML)
  • Develop ethical frameworks for advanced autonomous systems
  • Mentor junior researchers and build next-generation talent pipelines
  • Secure federal and private research grants for frontier AI initiatives
  • Collaborate with policy experts to shape responsible AI governance

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years research experience
  • Published 10+ papers in top-tier AI conferences
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
  • Strong background in computational neuroscience or quantum computing
  • Proven track record of translating research into production systems
  • Experience securing $1M+ in research funding

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Research AI Ethics Reinforcement Learning

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