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AI Research Scientist - 2026 Initiative

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

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation as we launch our groundbreaking 2026 Initiative. We're seeking visionary AI Research Scientists to pioneer next-generation neural networks that will redefine human-machine interaction. This role offers unparalleled opportunities to shape the future of AI while working alongside Nobel laureates and Turing Award winners in our state-of-the-art facility overlooking the Bay.

Our 2026 Initiative focuses on developing autonomous ethical AI systems, quantum-entangled machine learning models, and neural interfaces that bridge biological and computational intelligence. You'll receive equity, unlimited PTO, and a $20,000 annual research stipend to explore your most ambitious ideas.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 Initiative goals
  • Pioneer quantum-entangled machine learning models for predictive analytics
  • Collaborate with neuroscientists to develop biologically-inspired neural interfaces
  • Author breakthrough research papers for top-tier AI conferences (NeurIPS, ICML)
  • Mentor junior researchers and publish 2+ patents annually
  • Present findings to executive stakeholders and industry consortiums

Qualifications

  • PhD in Machine Learning, AI, or Computational Neuroscience (or equivalent research experience)
  • 5+ years of experience developing production-level deep learning systems
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in PyTorch/TensorFlow, CUDA, and distributed computing
  • Demonstrated ability to translate theoretical research into commercial applications
  • Strong background in AI ethics and bias mitigation frameworks
  • Experience securing federal AI research grants preferred

Required Skills

Deep Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning NLP AI Ethics

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