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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Shape the future of artificial intelligence at Nexus Innovations, where tomorrow's breakthroughs are built today. We're seeking an AI Research Scientist to pioneer solutions that will define the technological landscape of 2026 and beyond. Join our elite team in San Francisco and work on cutting-edge projects in quantum computing, neural networks, and generative AI that push the boundaries of human-machine collaboration.

Your Impact: You'll lead research initiatives that transform industries, collaborate with Nobel laureates and industry pioneers, and contribute to patents that will shape the next decade of innovation. We offer unparalleled resources, including access to our quantum computing lab and $50M annual R&D budget.

Why Nexus? Our culture celebrates intellectual curiosity, offers unlimited PTO, and provides equity grants to all team members. You'll receive world-class benefits including premium health coverage, 401(k) matching, and relocation assistance for top global talent.

Responsibilities

  • Architect and implement novel AI algorithms for next-generation autonomous systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Collaborate with cross-disciplinary teams to integrate AI solutions into production systems
  • Author breakthrough research papers for top-tier conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and publish findings in leading scientific journals
  • Secure research grants from DARPA and other government innovation programs
  • Develop ethical frameworks for responsible AI deployment in critical infrastructure

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Track record of publishing at NeurIPS/ICML with >50 citations per paper average
  • Mastery of distributed computing systems and high-performance GPU architectures
  • Experience securing federal research grants ($1M+ value preferred)
  • Strong background in AI ethics and bias mitigation frameworks
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

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

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