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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Tech Division

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Innovations' pioneering Future Tech Division and shape the AI landscape of tomorrow. We're seeking visionary researchers to develop next-generation artificial intelligence systems that will redefine industries by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources for groundbreaking work in quantum computing, neural networks, and autonomous systems.

You'll collaborate with Nobel laureates and industry disruptors in an environment that values bold ideas and intellectual curiosity. We provide competitive compensation, unlimited research budgets, and flexible work arrangements designed to maximize innovation.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and neuromorphic computing
  • Design and implement novel AI algorithms for real-world applications
  • Publish findings in top-tier journals and present at global conferences
  • Mentor junior researchers and foster collaborative research initiatives
  • Develop ethical frameworks for next-generation AI systems
  • Secure external funding through government grants and industry partnerships
  • Translate theoretical breakthroughs into scalable commercial solutions

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Published work in Nature/Science or top-tier AI conferences (NeurIPS, ICML)
  • Expertise in quantum computing frameworks and distributed neural networks
  • Strong programming skills in Python, TensorFlow/PyTorch, and C++
  • Proven track record of securing research grants ($500k+)
  • Experience with large-scale data processing and GPU/TPU optimization
  • Demonstrated ability to translate research into industry applications
  • Deep understanding of AI ethics and regulatory frameworks

Required Skills

Quantum Computing Neuromorphic AI Distributed Systems Machine Learning Python TensorFlow Research Ethics Grant Writing

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