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AI Research Scientist (2026 Vision)

NeuroForge Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join NeuroForge Labs at the forefront of 2026's AI revolution. We're pioneering neural interfaces that will redefine human-computer symbiosis. As an AI Research Scientist, you'll architect next-generation machine learning models that power our quantum neural networks. Collaborate with Nobel laureates in our Austin innovation hub, where your work directly impacts how humanity interacts with artificial intelligence by 2026.

We offer equity in a unicorn-backed startup, unlimited R&D budget, and the freedom to explore bleeding-edge research. Your breakthroughs here won't just advance technology—they'll shape the future of consciousness augmentation.

Responsibilities

  • Design and implement quantum neural network architectures for 2026-era cognitive interfaces
  • Lead research projects in generative adversarial networks for synthetic consciousness modeling
  • Develop novel reinforcement learning algorithms for autonomous decision-making systems
  • Collaborate with neuroscientists to decode brain-compatibility protocols
  • Publish breakthrough research in top-tier AI journals and conferences
  • Mentor junior researchers in ethical AI development frameworks
  • Secure patents for proprietary neural interface technologies

Qualifications

  • PhD in Computer Science, AI, or Computational Neuroscience with 5+ years of research
  • Expertise in TensorFlow/PyTorch and quantum computing frameworks
  • Published 15+ papers in NeurIPS, ICML, or Nature Machine Intelligence
  • Proven track record of deploying production-level LLM systems
  • Deep understanding of neuro-symbolic integration architectures
  • Experience with brain-computer interface hardware (BCI)
  • Strong background in ethical AI governance frameworks
  • Portfolio showcasing 2026-relevant AI prototypes

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Interfaces Generative AI Reinforcement Learning TensorFlow PyTorch BCI Technology Ethical AI

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