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AI Research Scientist (2026 Vision)

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-enhanced machine learning and neuro-symbolic AI, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco offers unparalleled resources for transforming theoretical concepts into globally impactful innovations.

We value intellectual curiosity as much as technical prowess. You'll lead cross-functional teams in developing ethical AI frameworks while publishing in top-tier journals and filing patents. This role offers equity, unlimited learning stipends, and the chance to shape humanity's technological trajectory.

Responsibilities

  • Design and implement novel AI architectures leveraging quantum computing principles
  • Lead research initiatives in explainable AI and federated learning systems
  • Develop ethical frameworks for autonomous decision-making algorithms
  • Collaborate with neuroscience teams on brain-inspired computing models
  • Publish 3+ peer-reviewed papers annually and file 2+ patents
  • Mentor junior researchers and present findings at global tech summits
  • Translate theoretical research into production-ready prototypes

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years in advanced AI research with publication record in top-tier venues
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated experience with ethical AI development and bias mitigation
  • Strong background in computational neuroscience or symbolic AI
  • Exceptional problem-solving skills with ability to tackle unsolved challenges
  • Published work in Nature, Science, or NeurIPS/ICML/ICLR proceedings

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Neural Networks PyTorch TensorFlow Ethics in AI Quantum Algorithms Federated Learning Research Publication

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