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AI Research Scientist (2026 Vision)

NeuroForge Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join NeuroForge Labs at the forefront of 2026's technological revolution as we pioneer next-generation AI systems. We're seeking a visionary AI Research Scientist to develop breakthrough neural architectures that will redefine human-machine interaction. You'll work in our state-of-the-art Austin R&D center, collaborating with Nobel laureates and Turing Award winners to solve humanity's most complex challenges through quantum-inspired machine learning.

This role offers unparalleled resources to explore uncharted territories in AI ethics, generative intelligence, and cognitive computing. NeuroForge provides 3x industry R&D budgets and flexible innovation sabbaticals to accelerate your breakthroughs. Shape the future of artificial intelligence while enjoying Austin's thriving tech ecosystem.

Responsibilities

  • Design and implement novel neural network architectures for 2026-era computing paradigms
  • Lead cross-disciplinary research teams in quantum-AI fusion and generative intelligence
  • Develop ethical frameworks for autonomous decision-making systems
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Collaborate with product teams to commercialize research into production systems
  • Mentor PhD researchers and foster next-generation talent development
  • Secure federal grants and corporate partnerships for frontier AI initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or Quantum Computing with 5+ years research experience
  • Published record in top-tier AI/ML conferences (minimum 10+ publications)
  • Expertise in transformer architectures, reinforcement learning, and neuromorphic computing
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated ability to secure $1M+ in research funding
  • Experience with ethical AI frameworks and responsible innovation practices
  • Strong track record of translating research into commercial applications

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks PyTorch Ethics in AI Reinforcement Learning Distributed Computing

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