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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

NeuraFusion Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join NeuraFusion Labs at the forefront of artificial intelligence revolution. We're seeking visionary AI Research Scientists to shape the technological landscape of 2026 and beyond. Our cutting-edge research lab in San Francisco combines quantum computing, neural networks, and predictive analytics to solve humanity's greatest challenges.

This role offers unparalleled opportunities to publish breakthrough papers, lead global research initiatives, and collaborate with Nobel laureates. You'll develop next-generation AI systems that will redefine industries, from healthcare to space exploration.

Responsibilities

  • Design and implement novel AI algorithms for predictive modeling and autonomous systems
  • Lead cross-functional teams in developing quantum-optimized neural networks
  • Publish high-impact research in top-tier AI journals and conferences
  • Develop ethical frameworks for responsible AI deployment in 2026+ applications
  • Mentor junior researchers and foster innovation through hackathons and symposiums
  • Collaborate with industry partners to translate research into commercial solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years in advanced AI research with published papers in NeurIPS/ICML/ICLR
  • Expertise in deep learning, reinforcement learning, and quantum computing principles
  • Proven track record of developing production-level AI systems at scale
  • Familiarity with emerging AI paradigms (e.g., neuromorphic computing, AGI safety)
  • Strong programming skills in Python, PyTorch, and quantum computing frameworks
  • Exceptional problem-solving ability for complex, multidisciplinary challenges

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks AI Ethics Predictive Analytics PyTorch Research

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