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AI Research Scientist - 2026 Visionary

NeuraLabs Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join NeuraLabs Inc. at the forefront of artificial intelligence innovation as we build the cognitive systems of 2026. We seek a visionary AI Research Scientist to pioneer breakthroughs in neural networks and machine learning architectures. This role offers unparalleled opportunities to shape the future of AI while collaborating with Nobel laureates and Turing Award winners in our state-of-the-art quantum computing lab.

Our team is developing next-generation AI models that will redefine human-computer interaction across healthcare, climate science, and space exploration. You'll work on proprietary projects with access to 10,000+ qubit processors and collaborate with MIT and Stanford research partners.

Responsibilities

  • Design and implement novel deep learning architectures for quantum-entangled neural networks
  • Lead research initiatives in explainable AI and ethical algorithm development
  • Develop prototypes for real-time multimodal AI processing (text, vision, audio)
  • Collaborate with hardware engineers to optimize AI models for neuromorphic processors
  • Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at global AI summits
  • Mentor junior researchers and cross-functional engineering teams
  • Secure $5M+ in research grants from NSF and DARPA partnerships

Qualifications

  • PhD in Computer Science, AI, or Computational Neuroscience with 5+ years research experience
  • Published 15+ peer-reviewed papers in AI/ML conferences (NeurIPS, ICML, CVPR)
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in PyTorch/TensorFlow with quantum computing simulation frameworks
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Strong background in ethical AI bias mitigation and alignment research
  • Track record of securing federal research grants or industry R&D funding
  • Fluency in C++/Python with distributed training optimization skills

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Reinforcement Learning PyTorch TensorFlow Research Ethics AI Alignment

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