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AI Research Scientist 2026

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

Job Description

Join NeuroSynth Labs at the forefront of 2026's AI revolution. We're pioneering next-generation neural interfaces and autonomous systems that will redefine human-computer interaction. Our multidisciplinary team of visionaries develops breakthrough technologies in quantum-enhanced machine learning and biocompatible neural networks. This role offers unparalleled opportunities to shape the future of artificial intelligence while working in our state-of-the-art facility overlooking the Bay Area's tech corridor.

Responsibilities

  • Lead R&D projects in quantum-entangled neural networks and predictive AI systems
  • Develop novel algorithms for adaptive machine learning and real-time data processing
  • Collaborate with neuroscientists to create biologically-inspired AI architectures
  • Present breakthrough findings at premier AI conferences and publish in Nature journals
  • Mentor cross-functional teams in cutting-edge AI methodologies and ethical frameworks
  • Secure $2M+ in annual research funding through NSF and DARPA proposals
  • Patent at least 3 novel AI technologies annually for commercial applications

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 3+ years industry experience
  • Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in computational neuroscience and neuro-symbolic AI
  • Experience securing federal research grants and managing large-scale projects
  • Proficiency in high-performance computing and distributed training systems
  • Demonstrated ability to translate theoretical concepts into commercial products
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning Quantum Computing Neural Networks Deep Learning Python TensorFlow PyTorch Research Data Science AI Ethics

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