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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuraVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape the future at NeuraVision Labs, where we're pioneering the next wave of artificial intelligence. We seek an exceptional AI Research Scientist to lead breakthrough projects in generative AI, quantum computing interfaces, and autonomous systems. Join our elite team of visionaries in a culture that celebrates innovation, collaboration, and intellectual curiosity.

As a cornerstone of our 2026 R&D roadmap, you'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. We offer unparalleled resources, flexible work arrangements, and a comprehensive benefits package including equity in our rapidly growing unicorn.

Responsibilities

  • Design and execute cutting-edge AI research projects targeting 2026 technological inflection points
  • Develop novel neural architectures for multi-modal generative systems
  • Lead cross-functional teams in translating research into production-ready solutions
  • Publish breakthrough findings in top-tier journals and conferences
  • Secure and manage multimillion-dollar research grants from federal and private entities
  • Mentor junior researchers and foster an environment of scientific excellence

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years postdoctoral experience
  • Proven track record of publishing in NeurIPS, ICML, or Nature AI
  • Mastery of transformer architectures, diffusion models, and quantum-ML hybrids
  • Expertise in PyTorch, TensorFlow, and distributed computing frameworks
  • Demonstrated ability to secure DARPA or NSF research funding
  • Strong background in ethical AI development and bias mitigation
  • Experience with MLOps pipelines for research-to-production deployment

Required Skills

Machine Learning Deep Learning Neural Networks Quantum Computing Generative AI Python PyTorch TensorFlow Research Ethics MLOps

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