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Senior AI Research Scientist

NeuroSynth Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join NeuroSynth Labs at the forefront of cognitive computing innovation. We're pioneering neural network architectures that transform how machines understand human cognition. As a Senior AI Research Scientist, you'll lead breakthrough projects in natural language processing and generative AI, collaborating with world-class neuroscientists and engineers to build the next generation of intelligent systems.

We offer a dynamic environment where your research directly impacts human-computer interaction paradigms. Our state-of-the-art facility in downtown San Francisco provides unparalleled resources for experimentation and collaboration.

Responsibilities

  • Design and implement novel deep learning architectures for multimodal data processing
  • Lead cross-functional teams in developing AI-powered cognitive computing solutions
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Translate academic research into scalable production-grade systems
  • Collaborate with neuroscience teams to validate models against human cognition data
  • Mentor junior researchers and drive technical excellence initiatives
  • Secure competitive research grants and intellectual property

Qualifications

  • PhD in Computer Science, Neuroscience, or related quantitative field
  • 5+ years of experience in applied AI/ML research
  • Published record in top-tier AI conferences or journals
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in transformer architectures and attention mechanisms
  • Proven ability to lead research projects from conception to deployment
  • Experience with neuroimaging data or cognitive modeling preferred
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Deep Learning Neural Networks NLP PyTorch Transformers Cognitive Computing Research Leadership Distributed Computing Academic Publishing

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