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AI Research Scientist 2026

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

Job Description

Shape the future at NeuroSynth Labs, where we're pioneering breakthroughs in artificial intelligence that will redefine industries by 2026. As an AI Research Scientist, you'll lead cutting-edge projects in neural networks, quantum computing, and generative AI, collaborating with world-class teams to develop solutions that solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco's tech hub provides an environment where innovation thrives, offering competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research.

We're seeking visionaries who aren't afraid to push boundaries. Join us in creating AI systems that understand, adapt, and evolve – technologies that will power the next decade of human progress. Your work will directly impact how businesses, healthcare, and education transform in the coming years.

Responsibilities

  • Design and implement advanced AI algorithms for next-generation neural networks
  • Lead quantum machine learning research projects targeting 2026 computational breakthroughs
  • Develop generative AI systems capable of autonomous innovation and problem-solving
  • Collaborate with cross-functional teams to integrate AI solutions into real-world applications
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Mentor junior researchers and contribute to our innovation roadmap

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch/TensorFlow)
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in quantum computing algorithms and hybrid quantum-classical systems
  • Strong background in natural language processing and computer vision
  • Proven ability to translate complex theoretical concepts into practical implementations

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Deep Learning Natural Language Processing Computer Vision PyTorch TensorFlow Generative AI

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